{"type": "FeatureCollection", "features": [{"id": "10.1016/j.iswcr.2020.01.001", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:17:55Z", "type": "Journal Article", "created": "2020-01-09", "title": "SHui, an EU-Chinese cooperative project to optimize soil and water management in agricultural areas in the XXI century", "description": "This article outlines the major scientific objectives of the SHui project that seeks to optimize soil and water use in agricultural systems in the EU and China, by considering major current scientific challenges in this area. SHui (for Soil Hydrology research platform underpinning innovation to manage water scarcity in European and Chinese cropping systems) is large cooperative project that aims to provide significant advances through transdisciplinary research at multiple scales (plot, field, catchment and region). This paper explains our research platform of long-term experiments established at plot scale, approaches taken to integrate crop and hydrological models at field scale; coupled crop models and satellite-based observations at regional scales; decision support systems for specific farming situations; and the integration of these technologies to provide policy recommendations through socio-economic analysis of the impact of soil and water saving technologies. It also outlines the training of stakeholders to develop a basic common curriculum despite the subject being distributed across different disciplines and professions. As such, this article provides a review of major challenges for improving soil and water use in EU and China as well as information about the potential to access information made available by SHui, and to allow others to engage with the project. This work has been supported by Project SHui which is co-funded by the European Union Project GA 773903 and the Chinese MOST. This work has been supported by P12-AGR-0931 (Andalusian Government), RTA2014-00063- C04-03 (Spanish government), SHui (European Commission Grant Agreement number: 773903) and EU\u2012FEDER funds Peer reviewed", "keywords": ["Yield", "550", "EROSION", "FLOW", "Cropping", "SIMULATE YIELD RESPONSE", "Soil Science", "Environmental Sciences & Ecology", "RICE YIELDS", "01 natural sciences", "630", "12. Responsible consumption", "4104 Environmental management", "4105 Pollution and contamination", "DRYING IRRIGATION", "11. Sustainability", "FAO CROP MODEL", "0105 earth and related environmental sciences", "2. Zero hunger", "Science & Technology", "1. No poverty", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "Engineering (General). Civil engineering (General)", "6. Clean water", "4106 Soil sciences", "Cooperation", "Sustainability", "13. Climate action", "Physical Sciences", "Water Resources", "0401 agriculture", " forestry", " and fisheries", "TA1-2040", "Life Sciences & Biomedicine", "Environmental Sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.iswcr.2020.01.001"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Soil%20and%20Water%20Conservation%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.iswcr.2020.01.001", "name": "item", "description": "10.1016/j.iswcr.2020.01.001", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.iswcr.2020.01.001"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-03-01T00:00:00Z"}}, {"id": "10.1016/j.iswcr.2018.03.002", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:17:55Z", "type": "Journal Article", "created": "2018-03-15", "title": "Effect Of Water Conservation Measures On Soil Moisture And Maize Yield Under Drought Prone Agro-Ecological Zones In Rwanda", "description": "This study was conducted to assess agricultural practices for generating maximum maize productivity in drought prone agro-ecological zones. The experiment was conducted in Cyili sub-catchment in Southern Province of Rwanda, which has an irregular rainfall distribution and a prolonged dry season. The experimental design consisted of a randomized design and each treatment was replicated three times. Findings from this study revealed that maize grain yield and yield components, such as plant height, cob diameter and length, number of leaves, 100 grain weight, and yield per plant were highly significantly affected (P\u202f<\u202f0.001) by all water conservation methods tested. Only germination rate was not significantly impacted (p\u202f>\u202f0.05). Supplementary irrigation treatment increased maize yield production to 11,982\u202fkg\u202fha-1. Mulching increased yield significantly to 8089\u202fkg\u202fha-1. Ridges yielded 5937\u202fkg\u202fha-1, and rainfed treatment yielded 4755\u202fkg\u202fha-1 of maize. Based on Pearson's correlation coefficients, grain yield and yield components were positively correlated and statistically significant (p\u202f<\u202f0.001) under various water conservation methods. Supplementary irrigation through rainwater harvesting was found to be a more promising option for maize growers to mitigate dry spell and stabilize maize production in rainfall deficient agro-ecological conditions not only in Rwanda, but in sub-Sahara Africa. Keywords: Maize yield, Mulching, Tied ridges, Supplementary irrigation", "keywords": ["0106 biological sciences", "2. Zero hunger", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "TA1-2040", "15. Life on land", "Engineering (General). Civil engineering (General)", "01 natural sciences", "6. Clean water"]}, "links": [{"href": "https://doi.org/10.1016/j.iswcr.2018.03.002"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Soil%20and%20Water%20Conservation%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.iswcr.2018.03.002", "name": "item", "description": "10.1016/j.iswcr.2018.03.002", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.iswcr.2018.03.002"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-09-01T00:00:00Z"}}, {"id": "10.1016/j.iswcr.2020.07.003", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:17:55Z", "type": "Journal Article", "created": "2020-07-17", "title": "Evaluation of soil erosion risk and identification of soil cover and management factor (C) for RUSLE in European vineyards with different soil management", "description": "Open AccessThis study was funded by the European BiodivERsA project VineDivers (https://short.boku.ac.at/vinedivers) through the BiodivERsA/FACCE JPI (2013\u20132014 joint call) for research proposals, with the national funders: Austrian Science Fund (grant numbers I 2044-/I 2043-/I 2042-B25 FWF), French National Research Agency (ANR), Spanish Ministry of Economy and Competitiveness (PCIN-2014-098), Romanian Executive Agency for Higher Education, Research, Development and Innovation Funding (UEFISCDI) and Federal Ministry of Education and Research (BMBF/Germany). Also to the CNR Short Term Mobility Program 2016 for funding a stay at IAS-CSIC during which M.Biddoccu contributed to this study and the SHui project funded by the European Commission (GA 773903), which supported the final steps of the analysis presented in this manuscript.", "keywords": ["[SDE] Environmental Sciences", "2. Zero hunger", "Soil management", "550", "Vineyard", " Erosion", " Soil management", " RUSLE", " Europe", "04 agricultural and veterinary sciences", "15. Life on land", "Engineering (General). Civil engineering (General)", "Vineyard", "630", "Europe", "Erosion", "13. Climate action", "[SDE]Environmental Sciences", "0401 agriculture", " forestry", " and fisheries", "RUSLE", "TA1-2040"]}, "links": [{"href": "https://iris.cnr.it/bitstream/20.500.14243/510459/1/Biddoccu_et_al_2020_Soil%20erosion%20vineyard%20Europe%20RUSLE.pdf"}, {"href": "https://doi.org/10.1016/j.iswcr.2020.07.003"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Soil%20and%20Water%20Conservation%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.iswcr.2020.07.003", "name": "item", "description": "10.1016/j.iswcr.2020.07.003", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.iswcr.2020.07.003"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-12-01T00:00:00Z"}}, {"id": "10.1016/j.iswcr.2021.01.003", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:17:55Z", "type": "Journal Article", "created": "2021-01-25", "title": "In-depth analysis of soil management and farmers\u2019 perceptions of related risks in two olive grove areas in southern Spain", "description": "Trabajo desarrollado bajo la financiaci\u00f3n del proyecto \u201cSoil Hydrology research platform underpinning innovation to manage water scarcity in European and Chinese cropping Systems\u201d (773903), coordinado por Jos\u00e9 Alfonso G\u00f3mez Calero, investigador del Instituto de Agricultura Sostenible (IAS). This manuscript presents a questionnaire-based study aimed to provide a detailed analysis on the different soil management carried out by olive farmers in two representative olive-growing areas in southern Spain (Cordoba and Estepa), their perceptions on cover crop use and the possible influence of the different types of farms and farmers\u2019 typologies on these perceptions. Our results show a relatively large variability of soil management, with fourteen options, as a result of a combination of different alternatives for bare soil and cover crops with the use or not of pruning residues, but with a great similarity between both areas. The results indicate a high adoption of soil conservation measures in the two study areas, with 63% of farmers using cover crops and 80% a mulch of pruning residues, higher than that reported in previous studies in Southern Spain, and a trend of lower use of these techniques by less experienced and younger farmers. This high penetration of soil conservation measures resulted in a significant reduction of soil erosion risk, as indicated by the relatively low values for the cover and management factor (C) of RUSLE, also calculated and presented in this study, but also the possibility of focusing further efforts on farmers with less experience. Our results indicate the persistence of a minor, but relevant, percentage of farmers using bare soil management (37%) and no mulching (20%), with a moderate concern on the impact of soil erosion on soil degradation and provision of ecosystem services. This suggests the need to concentrate efforts also on this cluster of farmers to enhance the success of what seems to be a remarkable expansion of the use of soil conservation measures in recent decades in Southern Spain, but also in similar areas in the Mediterranean basin. This work was supported by P12-AGR-0931 (Andalusian Government), AGL2015-65036-C3-1-R and PID2019-105793RB-I00 (Spanish Government), SHui (European Commission Grant Agreement number: 773903) and EU-FEDER funds, as well as by the cooperative agreement between the DOP Estepa and the University of Cordoba. All this support is gratefully acknowledged. Peer reviewed", "keywords": ["2. Zero hunger", "Cover crops", "Questionnaire", "04 agricultural and veterinary sciences", "15. Life on land", "Engineering (General). Civil engineering (General)", "6. Clean water", "Tillage", "Olive yield", "0401 agriculture", " forestry", " and fisheries", "TA1-2040", "Irrigation", "Erosion risk"]}, "links": [{"href": "https://doi.org/10.1016/j.iswcr.2021.01.003"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Soil%20and%20Water%20Conservation%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.iswcr.2021.01.003", "name": "item", "description": "10.1016/j.iswcr.2021.01.003", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.iswcr.2021.01.003"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-09-01T00:00:00Z"}}, {"id": "10.1016/j.iswcr.2022.12.002", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:17:55Z", "type": "Journal Article", "created": "2022-12-29", "title": "Spatial variability of soil organic carbon stock in an olive orchard at catchment scale in Southern Spain", "description": "Open AccessPeer reviewed", "keywords": ["Carbon sequestration", "2. Zero hunger", "Vertic soils", "Mediterranean crops", "Catchments", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "TA1-2040", "15. Life on land", "Engineering (General). Civil engineering (General)", "Catchment", "Spatial variability"]}, "links": [{"href": "https://doi.org/10.1016/j.iswcr.2022.12.002"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Soil%20and%20Water%20Conservation%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.iswcr.2022.12.002", "name": "item", "description": "10.1016/j.iswcr.2022.12.002", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.iswcr.2022.12.002"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-06-01T00:00:00Z"}}, {"id": "10.1016/j.iswcr.2023.07.008", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:17:55Z", "type": "Journal Article", "created": "2023-08-03", "title": "Towards a better understanding of pathways of multiple co-occurring erosion processes on global cropland", "description": "Soil erosion is a complex process involving multiple natural and anthropic agents, causing the deterioration of multiple components comprising soil health. Here, we provide an estimate of the spatial patterns of cropland susceptibility to erosion by sheet and rill, gully, wind, tillage, and root crops harvesting and report the co-occurrence of these processes using a multi-model approach. In addition, to give a global overview of potential future changes, we identify the locations where these multiple concurrent soil erosion processes may be expected to intersect with projected dry/wet climate changes by 2070. Of a modelled 1.48 billion hectares (B ha) of global cropland, our results indicate that 0.56\u00a0B\u00a0ha (\u223c36% of the total area) are highly susceptible (classes 4 and 5) to a single erosion process, 0.27\u00a0B\u00a0ha (\u223c18% of the total area) to two processes and 0.02\u00a0B\u00a0ha (1.4% of the total area) to three or more processes. An estimated 0.82\u00a0B\u00a0ha of croplands are susceptible to possible increases in water (0.68\u00a0B\u00a0ha) and wind (0.14\u00a0B\u00a0ha) erosion. We contend that the presented set of estimates represents a basis for enhancing our foundational knowledge on the geography of soil erosion at the global scale. The generated insight on multiple erosion processes can be a useful starting point for decision-makers working with ex-post and ex-ante policy evaluation of the UN Sustainable Development Goal 15 (Life on Land) activities. Scientifically, this work provides the hitherto most comprehensive assessment of soil erosion risks at the global scale, based on state-of-the-art models.", "keywords": ["550", "[SDV]Life Sciences [q-bio]", "multi-model approach", "pobiranje pridelka", "water", "Wind", "Modelling", "Gully", "Tillage", "modelling", "modeliranje", "11. Sustainability", "jarkovna erozija", "wind", "info:eu-repo/classification/udc/631.4", "2. Zero hunger", "Multi-model approach", "Modelling; Multi-model approach; Water; Wind; Gully; Tillage; Crop harvesting", "500", "Water", "15. Life on land", "multi-modelski pristop", "Crop harvesting", "Engineering (General). Civil engineering (General)", "[SDV] Life Sciences [q-bio]", "gully", "13. Climate action", "veter", "voda", "tillage", "crop harvesting", "TA1-2040", "erozija zaradi obdelave tal"]}, "links": [{"href": "https://doi.org/10.1016/j.iswcr.2023.07.008"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Soil%20and%20Water%20Conservation%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.iswcr.2023.07.008", "name": "item", "description": "10.1016/j.iswcr.2023.07.008", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.iswcr.2023.07.008"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-12-01T00:00:00Z"}}, {"id": "10.1016/j.iswcr.2023.12.001", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:17:56Z", "type": "Journal Article", "created": "2023-12-20", "title": "Appraising trapping efficiency of vegetative barriers in agricultural landscapes: Strategy based on a probabilistic approach based on a review of available information", "description": "Vegetative barriers have proven their effectiveness in controlling water erosion and enhancing other ecosystem services in agricultural areas. This characteristic has led to the conservation and promotion of vegetative barriers as landscape elements by the Common Agricultural Policy and other policy initiatives. Numerous reviews have dealt with the trapping efficiency of vegetated barriers, although they usually focus on studies from humid climates where their implantation and survival are more favourable. However, vegetated barriers are also an attractive alternative in arid and semi-arid climates. They limit competition for water and nutrients with crops to a reduced area compared to other best management practices, such as cover crops. This study presents a review of trapping efficiency of sediment, runoff, and nutrients (P and N) by vegetative barriers in regions of humid and arid, and semi-arid, climates, and a strategy based on sediment trapping efficiency probability, which in turn is based on the results obtained from our review. Different types of independent variables were grouped and identified for the review: related to the vegetative barrier dimension (buffer width, slope of the plot, and buffer area ratio), and related to the experimental conditions (type of vegetation in the buffer, soil protection of the non-buffered area, type of climate, type of experimental measurement and origin of rainfall). An exploratory analysis evaluated the significance of the experimental variables, which identified the need to focus on experiments under natural rainfall since those carried out with simulated rainfall presented statistically significant differences. In general, average trapping efficiencies for runoff and sediment were 40.1 and 62.6 %, respectively. For nutrients, values of trapping efficiencies had an average of 44.9 % for phosphorus and 38.4 % for nitrogen. Runoff and sediment trapping efficiency in arid and semi-arid regions tended to be higher than in humid regions. Regarding dimensional variables, a positive trend was observed in the runoff and sediment trapping efficiency with the width of the vegetative barrier, with a large variability across all the width range. Finally, based on the results of our review, we developed a probabilistic model for sediment trapping efficiency as a normalised cumulative probability distribution function for the two climatic regions separately. Also, we developed it as a function of the width of the vegetative barrier for each climatic region, to facilitate decision-making. This model shows that in 92 % of the cases, a vegetative barrier will reduce erosion in humid climates, while this trapping efficiency will be 100 % in semi-arid and arid conditions. This analysis showed that vegetative barriers are an alternative to other best management practices, e.g. cover crops, when there are operational or agronomic impediments to their implementation, having a high success rate in reducing erosion in any agricultural area.", "keywords": ["2. Zero hunger", "Connectivity", "Runoff", "Experimental plots", "Nutrients", "04 agricultural and veterinary sciences", "Sediment transport", "15. Life on land", "Engineering (General). Civil engineering (General)", "01 natural sciences", "Buffer strip", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "TA1-2040", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.iswcr.2023.12.001"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Soil%20and%20Water%20Conservation%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.iswcr.2023.12.001", "name": "item", "description": "10.1016/j.iswcr.2023.12.001", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.iswcr.2023.12.001"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-09-01T00:00:00Z"}}, {"id": "10.1016/j.iswcr.2024.10.002", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:17:56Z", "type": "Journal Article", "created": "2024-10-09", "title": "Visible, near-infrared, and shortwave-infrared spectra as an input variable for digital mapping of soil organic carbon", "description": "This study proposes a novel methodology to employ discrete point spectra as input variable for digital mapping of soil organic carbon (SOC). Accordingly, two SOC modeling approaches were used in three agricultural sites in Czech Republic: i) machine learning (ML) including partial least squares regression (PLSR), cubist, random forest (RF), and support vector regression (SVR), and ii) regression kriging (RK) by the combination of ordinary kriging (OK) and PLSR (PLSR-K), cubist (cubist-K), RF (RF-K), and SVR (SVR-K). Models were developed on environmental predictor covariates (EPCs) and thirty genetic algorithms (GA)-selected visible, near-infrared, and shortwave-infrared (VNIR\u2013SWIR) wavelengths spectra, individually and combined. Thirty rasters were then created using interpolation of the selected spectra and served as the input variables \u2013 with and without EPCs \u2013 to test and compare the developed models and SOC predictive maps with each other and with those retrieved from the third approach: iii) kriging using OK of the measured and ML-predicted SOC. The impact of employing selected wavelengths\u2019 spectra and EPCs on models' performance was investigated using independent test samples and the uncertainty associated with the produced maps. Using interpolated spectra as the only input variable yielded a relatively acceptable accuracy (Nov\u00e1 Ves: RMSE\u00a0=\u00a00.19%, \u00dadrnice: RMSE\u00a0=\u00a00.12%, Klu\u010dov: RMSE\u00a0=\u00a00.13%). In comparison, the interpolated spectra coupled with EPCs enhanced the results. Regarding the uncertainty, however, the ML-based SOC maps were more reliable, than RK-based ones. Furthermore, maps produced using both spectra and EPCs showed less uncertainty than those constructed on the individual datasets.", "keywords": ["SOC modeling and mapping", "Regression kriging", "EJP SOIL", "ProbeField", "550", "Interpolated spectra", "EJPSOIL", "Machine learning", "Uncertainty", "TA1-2040", "Engineering (General). Civil engineering (General)"]}, "links": [{"href": "https://doi.org/10.1016/j.iswcr.2024.10.002"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Soil%20and%20Water%20Conservation%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.iswcr.2024.10.002", "name": "item", "description": "10.1016/j.iswcr.2024.10.002", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.iswcr.2024.10.002"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-03-01T00:00:00Z"}}, {"id": "10.1016/j.iswcr.2025.02.011", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:17:56Z", "type": "Journal Article", "created": "2025-03-04", "title": "Long-term effects of tillage practices and future climate scenarios on topsoil organic carbon stocks in Lower Austria \u2013 A modelling and long-term experiment study", "description": "Conservation agriculture, with its reduced soil disturbance and enhanced cover, has the potential to increase carbon storage in the topsoil. However, it remains unclear how various tillage practices alter topsoil organic carbon (SOC) storage in the long-term affected by climate change. This study investigates the impacts of three tillage practices, Conventional Tillage (CT), Mulch Tillage (MT), and No-Till (NT) on future SOC stocks in the topsoil (0\u201315\u00a0cm), considering climate change scenarios (RCP4.5 and RCP8.5) and local soil erosion effects. Therefore, we calibrated and applied the integrated terrestrial C-N-P cycle model (N14CP) to a long-term study site with a cereal-maize dominant crop rotation in Lower Austria. Our calibration (1994\u20131995) resulted in a RMSE of 45.3\u00a0g\u00a0m\u22122 and a PBIAS of 9.6%, while validation (2000\u20132023) resulted in a RMSE of 103.8\u00a0g\u00a0m\u22122 and a PBIAS of 3.9%. Long-term simulations indicate that topsoil SOC stocks tend to increase under MT by\u00a0+309\u00a0g\u00a0m\u22122 (baseline),\u00a0+233\u00a0g\u00a0m\u22122 (RCP4.5), and\u00a0+148\u00a0g\u00a0m\u22122 (RCP8.5), under NT by\u00a0+1145\u00a0g\u00a0m\u22122 (baseline),\u00a0+1059\u00a0g\u00a0m\u22122 (RCP4.5), and\u00a0+961\u00a0g\u00a0m\u22122 (RPC8.5), but SOC stocks may decrease under CT by\u00a0\u2212209\u00a0g\u00a0m\u22122 (baseline),\u00a0\u2212267\u00a0g\u00a0m\u22122 (RCP4.5), and\u00a0\u2212332\u00a0g\u00a0m\u22122 (RCP8.5) by 2100. In contrast to conventional management, our tested conservation agriculture practices (MT and NT) may both serve as viable options to mitigate climate change and erosion impacts on topsoil organic carbon in comparable agro-ecological settings.", "keywords": ["soil organic carbon", "N14CP model", "Conservation agriculture", "Lower Austria", "Long-term experiment", "Climate change", "TA1-2040", "Engineering (General). Civil engineering (General)"]}, "links": [{"href": "https://doi.org/10.1016/j.iswcr.2025.02.011"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Soil%20and%20Water%20Conservation%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.iswcr.2025.02.011", "name": "item", "description": "10.1016/j.iswcr.2025.02.011", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.iswcr.2025.02.011"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-06-01T00:00:00Z"}}, {"id": "10.1016/j.jestch.2022.101323", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:18:02Z", "type": "Journal Article", "created": "2023-01-10", "title": "Multiparametric experimental analysis of the pin disc rotational cavitation generator", "description": "The alarming increase in water pollution is driving research into novel, environmentally friendly treatment solutions such as hydrodynamic cavitation. This study is part of the research on the pin disc rotational generator of hydrodynamic cavitation, which utilises the low pressure wake behind the rotor pins to induce cavitation and the short gap between the rotor and stator pins to enhance cavitation cloud fluctuation. Due to the lack of understanding of the effects of cavitation treatment, a laboratory device was built to investigate the mechanisms of cavitation generation and the effects of various geometric features such as the diameter, number, and shape of the rotor pins and the gap size between the rotor and stator pins. Using simultaneously measured pressure fluctuations and high-speed visualisation, a method was developed to quantify the extent of cavitation, and it was found that throttling the high-pressure side had an order- of- magnitude smaller effect on cavitation than the number of rotor pins. It was found that a smaller number of rotor pins with large downstream area produced the most aggressive cavitation conditions. The weak spectral response and lower mean vapour cloud area, as well as the lower fluctuation in the case without stator, demonstrated the key role of the stator in the onset and aggressiveness of cavitation.", "keywords": ["hydrodynamic cavitation", " cavitation dynamics", " multiparametric analysis", " flow visualization", " waste water treatment", "eksperimentalne analize", "\u010di\u0161\u010denje odpadnih voda", "Cavitation dynamics", "04 agricultural and veterinary sciences", "Multiparametric analysis", "Engineering (General). Civil engineering (General)", "dinamika teko\u010din", "6. Clean water", "Hydrodynamic cavitation pinned disc reactor", "info:eu-repo/classification/udc/532.528", "cavitation dynamics", "0404 agricultural biotechnology", "waste water treatment", "multiparametric analysis", "vizualizacija", "hidrodinamska kavitacija", " dinamika teko\u010din", " eksperimentalne analize", " vizualizacija", " \u010di\u0161\u010denje odpadnih voda", "info:eu-repo/classification/udc/532", "hydrodynamic cavitation", "flow visualization", "hidrodinamska kavitacija", "TA1-2040", "0405 other agricultural sciences", "hydrodynamic cavitation pinned disc reactor", "Flow visualization"]}, "links": [{"href": "https://doi.org/10.1016/j.jestch.2022.101323"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Engineering%20Science%20and%20Technology%2C%20an%20International%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jestch.2022.101323", "name": "item", "description": "10.1016/j.jestch.2022.101323", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jestch.2022.101323"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-02-01T00:00:00Z"}}, {"id": "10.1016/j.sbsr.2022.100541", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:18:11Z", "type": "Journal Article", "created": "2022-11-21", "title": "Application of metal oxide semiconductor for detection of ammonia emissions from agricultural sources", "description": "Agricultural emissions of ammonia (NH3) reduce air quality and biodiversity. Measuring the effectiveness of mitigations measures requires rapid monitoring tools, however, conventional methods are labour intensive and costly. This study evaluated the performance of a prototype metal oxide semiconductor (MOS) gas sensor for monitoring NH3. Conventional methods were used to calibrate sensor conductance. The metal oxide semiconductor (MOS) gas sensor was calibrated against NH3 released from a 0.1\u00a0M phosphate buffer spiked with ammonium chloride and NH3 released from recently spread cattle slurry. Field measurements using the MOS sensor were compared with values measuring a Bruker Open Path Air Monitoring System. Sensor conductance and NH3 concentration were described using single site Langmuir adsorption model. Field calibrations suggest a higher detection limit above 0.1\u00a0ppm and coefficients of determination were 0.93 and 0.89 for sensors 1 and 2, respectively. For prototypes deployed under field conditions, sensitivities of 2.2 and 2.4 with nonlinearity constants of 0.53 and 0.51, were found for sensor 1 and 3 respectively. Average R2 values were 0.88 for sensor 1 and 0.92 for sensor 3. The calibrations were used to calculate NH3 concentrations from slurry emissions using MOS sensor conductance. NH3 concentrations between 0.2 and 1\u00a0ppm, were measured with standard deviation of 20% of verified concentrations. The MOS sensor is sensitive enough to detect NH3 emission from agricultural sources with concentrations above 0.2\u00a0ppm. Low power and cost of MOS sensors are an advantage over existing techniques.", "keywords": ["Emission", "Ammonia", "Calibration", "0401 agriculture", " forestry", " and fisheries", "Agriculture", "04 agricultural and veterinary sciences", "TA1-2040", "Engineering (General). Civil engineering (General)", "01 natural sciences", "Metal-oxide semiconductor", "Sensor", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Bastiaan Molleman, Enrico Alessi, Dominika Krol, Phoebe A. Morton, Karen Daly,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.sbsr.2022.100541"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sensing%20and%20Bio-Sensing%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.sbsr.2022.100541", "name": "item", "description": "10.1016/j.sbsr.2022.100541", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.sbsr.2022.100541"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-12-01T00:00:00Z"}}, {"id": "10.1038/s41378-024-00724-2", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:19:19Z", "type": "Journal Article", "created": "2024-06-25", "title": "Elasto-inertial focusing and particle migration in high aspect ratio microchannels for high-throughput separation", "description": "Abstract<p>The combination of flow elasticity and inertia has emerged as a viable tool for focusing and manipulating particles using microfluidics. Although there is considerable interest in the field of elasto-inertial microfluidics owing to its potential applications, research on particle focusing has been mostly limited to low Reynolds numbers (Re&lt;1), and particle migration toward equilibrium positions has not been extensively examined. In this work, we thoroughly studied particle focusing on the dynamic range of flow rates and particle migration using straight microchannels with a single inlet high aspect ratio. We initially explored several parameters that had an impact on particle focusing, such as the particle size, channel dimensions, concentration of viscoelastic fluid, and flow rate. Our experimental work covered a wide range of dimensionless numbers (0.05\uffe2\uff80\uff89&lt;\uffe2\uff80\uff89Reynolds number\uffe2\uff80\uff89&lt;\uffe2\uff80\uff8985, 1.5\uffe2\uff80\uff89&lt;\uffe2\uff80\uff89Weissenberg number\uffe2\uff80\uff89&lt;\uffe2\uff80\uff893800, 5\uffe2\uff80\uff89&lt; Elasticity number\uffe2\uff80\uff89&lt;\uffe2\uff80\uff89470) using 3, 5, 7, and 10\uffe2\uff80\uff89\uffc2\uffb5m particles. Our results showed that the particle size played a dominant role, and by tuning the parameters, particle focusing could be achieved at Reynolds numbers ranging from 0.2 (1\uffe2\uff80\uff89\uffc2\uffb5L/min) to 85 (250\uffe2\uff80\uff89\uffc2\uffb5L/min). Furthermore, we numerically and experimentally studied particle migration and reported differential particle migration for high-resolution separations of 5\uffe2\uff80\uff89\uffc2\uffb5m, 7\uffe2\uff80\uff89\uffc2\uffb5m and 10\uffe2\uff80\uff89\uffc2\uffb5m particles in a sheathless flow at a throughput of 150\uffe2\uff80\uff89\uffc2\uffb5L/min. Our work elucidates the complex particle transport in elasto-inertial flows and has great potential for the development of high-throughput and high-resolution particle separation for biomedical and environmental applications.</p", "keywords": ["0301 basic medicine", "Technology", "0303 health sciences", "03 medical and health sciences", "T", "Fluid Mechanics", "TA1-2040", "Engineering (General). Civil engineering (General)", "Str\u00f6mningsmekanik", "Article"]}, "links": [{"href": "https://iris.polito.it/bitstream/11583/2990397/1/s41378-024-00724-2.pdf"}, {"href": "https://www.nature.com/articles/s41378-024-00724-2.pdf"}, {"href": "https://doi.org/10.1038/s41378-024-00724-2"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Microsystems%20%26amp%3B%20Nanoengineering", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s41378-024-00724-2", "name": "item", "description": "10.1038/s41378-024-00724-2", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41378-024-00724-2"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-06-25T00:00:00Z"}}, {"id": "10.3390/app12094623", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:23:20Z", "type": "Journal Article", "created": "2022-05-05", "title": "Opportunities for Low Indirect Land Use Biomass for Biofuels in Europe", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Sustainable biofuels are an important tool for the decarbonisation of transport. This is especially true in aviation, maritime, and heavy-duty sectors with limited short-term alternatives. Their use by conventional transport fleets requires few changes to the existing infrastructure and engines, and thus their integration can be smooth and relatively rapid. Provision of feedstock should comply with sustainability principles for (i) producing additional biomass without distorting food and feed markets and (ii) addressing challenges for ecosystem services, including biodiversity, and soil quality. This paper performs a meta-analysis of current research for low indirect land use change (ILUC) risk biomass crops for sustainable biofuels that benefited either from improved agricultural practices or from cultivation in unused, abandoned, or severely degraded land. Two categories of biomass crops are considered here: oil and lignocellulosic. The findings confirm that there are significant opportunities to cultivate these crops in European agro-ecological zones with sustainable agronomic practices both in farming land and in land with natural constraints (unused, abandoned, and degraded land). These could produce additional low environmental impact feedstocks for biofuels and deliver economic benefits to farmers.</p></article>", "keywords": ["advanced biofuels", "Technology", "Chemistry", " Multidisciplinary", "01 natural sciences", "7. Clean energy", "630", "CROP-ROTATION", "CARBON", "Engineering", "11. Sustainability", "land use change; low ILUC; oil crops; lignocellulosic crops; advanced biofuels; sustainability; marginal land; degraded land", "ALTERNATIVE FUELS", "Biology (General)", "2. Zero hunger", "Multidisciplinary", "marginal land", "T", "Physics", "sustainability", "Engineering (General). Civil engineering (General)", "Chemistry", "Applied", "Physical Sciences", "TA1-2040", "low ILUC", "land use change", "330", "QH301-705.5", "QC1-999", "Materials Science", "Engineering", " Multidisciplinary", "Materials Science", " Multidisciplinary", "Physics", " Applied", "12. Responsible consumption", "CYCLE", "QD1-999", "BIODIESEL PRODUCTION", "0105 earth and related environmental sciences", "Science & Technology", "advanced biofuels; degraded land; land use change; lignocellulosic crops; low ILUC; marginal land; oil crops; sustainability", "15. Life on land", "AGROFORESTRY", "SOIL", "NITROGEN", "lignocellulosic crops", "YIELD", "oil crops", "13. Climate action", "CRAMBE-ABYSSINICA", "degraded land"]}, "links": [{"href": "http://www.mdpi.com/2076-3417/12/9/4623/pdf"}, {"href": "https://iris.polito.it/bitstream/11583/2995521/1/applsci-12-04623-v3.pdf"}, {"href": "https://www.mdpi.com/2076-3417/12/9/4623/pdf"}, {"href": "https://doi.org/10.3390/app12094623"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Applied%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/app12094623", "name": "item", "description": "10.3390/app12094623", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/app12094623"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-04T00:00:00Z"}}, {"id": "10.3390/app12125808", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:23:20Z", "type": "Journal Article", "created": "2022-06-09", "title": "Experimental Study of the Usage of Combined Biopolymer and Plants in Reinforcing the Clayey Soil Exposed to Acidic and Alkaline Contaminations", "description": "<p>In the last decade, biopolymers have been extensively studied, showing a great potential in soil reinforcement and the promotion of vegetation growth with limited environmental impact. In this paper, a soil reinforcing method with combined biopolymer (xanthan gum, XG) and plants (oat) was proposed to strengthen the clayey soil with different pore fluid pH values. A series of laboratory tests were conducted, mainly including the plant cultivation tests and the direct shear tests. It was found that oats grew better in the neutral, weakly acidic, and weakly alkaline soil environments. Both 0.25% XG and 0.50% XG that mostly promoted plant growth, also led to higher soil shear strength. An excessive XG content (e.g., 0.75% and 1.00%) may lead to the formation of a hard XG\uffe2\uff80\uff93soil matrix, preventing oat growth and therefore resulting in a lower shear strength. The XG\uffe2\uff80\uff93oat combination was found to be more effective in treating the soils with acidic pH values. Furthermore, the XG\uffe2\uff80\uff93oat combination is able to reduce the types and contents of heavy metal elements in the soil. Therefore, we suggest using biopolymers in combination with plants to improve the stability and geotechnical performances of the shallow soil slopes that are exposed to acidic and alkaline contamination.</p>", "keywords": ["2. Zero hunger", "Technology", "QH301-705.5", "T", "Physics", "QC1-999", "xanthan gum", "QK", "0211 other engineering and technologies", "clayey soil", "02 engineering and technology", "direct shear test", "15. Life on land", "Engineering (General). Civil engineering (General)", "acidic/alkaline contamination", "6. Clean water", "QR", "xanthan gum; oats; clayey soil; acidic/alkaline contamination; direct shear test", "Chemistry", "TA", "TA1-2040", "Biology (General)", "QD1-999", "oats"], "contacts": [{"organization": "Ni, Jing, Chen, Jiaqi, Liu, Shuojie, Hao, Ganglai, Geng, Xueyu,", "roles": ["creator"]}]}, "links": [{"href": "http://wrap.warwick.ac.uk/168998/1/WRAP-experimental-study-usage-combined-biopolymer-plants-reinforcing-clayey-soil-exposed-acidic-alkaline-contaminations-Geng-2022.pdf"}, {"href": "http://www.mdpi.com/2076-3417/12/12/5808/pdf"}, {"href": "https://www.mdpi.com/2076-3417/12/12/5808/pdf"}, {"href": "https://doi.org/10.3390/app12125808"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Applied%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/app12125808", "name": "item", "description": "10.3390/app12125808", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/app12125808"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-06-07T00:00:00Z"}}, {"id": "10.3390/app12031330", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:23:20Z", "type": "Journal Article", "created": "2022-01-26", "title": "Implementing a GIS-Based Digital Atlas of Agricultural Plastics to Reduce Their Environmental Footprint; Part I: A Deductive Approach", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The agricultural sector has benefitted over the last century from several factors that have led to an exponential increase in its productive efficiency. The increasing use of new materials, such as plastics, has been one of the most important factors, as they have allowed for increased production in a simpler and more economical way. Various polymer types are used in different phases of the agricultural production cycle, but when their use is incorrectly managed, it can lead to different environmental impacts. In this study, an applied and simplified methodology to manage agricultural plastics monitoring and planning is proposed. The techniques used are based on quantification through the use of different datasets (orthophotos and satellite images) of the areas covered by plastics used for crop protection. The study area chosen is a part of the Ionian Coast of Southern Italy, which includes the most important municipalities of the Basilicata Region for fruit and vegetable production. The use of geographical techniques and observation methodologies, developed in an open-source GIS environment, enabled accurate location of about 2000 hectares of agricultural land covered by plastics, as well as identification of the areas most susceptible to the accumulation of plastic waste. The techniques and the model implemented, due to its simplicity of use and reliability, can be applied by different local authorities in order to realize an Atlas of agricultural plastics, which would be applied for continuous monitoring, thereby enabling the upscaling of future social and ecological impact assessments, identification of new policy impacts, market searches, etc.</p></article>", "keywords": ["Technology", "remote sensing indice", "Microplastics", "sustainable plasticulture", "0211 other engineering and technologies", "Plastic greenhouse", "02 engineering and technology", "remote sensing indices", "01 natural sciences", "630", "RPGI", "11. Sustainability", "0202 electrical engineering", " electronic engineering", " information engineering", "Biology (General)", "Agro-plastics", "plastic footprint", "2. Zero hunger", "T", "Physics", "04 agricultural and veterinary sciences", "Engineering (General). Civil engineering (General)", "plastic greenhouse", "6. Clean water", "Sustainable plasticulture", "Chemistry", "agricultural plastic surface", "Agricultural plastic surface", "agro-plastics; digital Atlas; agricultural plastic surface; remote sensing indices; RPGI; plastic footprint", "agro\u2010plastic", "TA1-2040", "microplastic", "microplastics", "330", "QH301-705.5", "Soil pollution", "QC1-999", "Plastic footprint", "digital Atla", "Agro\u2010plastic", "12. Responsible consumption", "Agricultural plastic coefficient", "QD1-999", "agro-plastics", "0105 earth and related environmental sciences", "soil pollution", "Mulching film", "mulching film", "plastic greenhouse; mulching film; microplastics; soil pollution; agricultural plastic coefficient; sustainable plasticulture", "15. Life on land", "Remote sensing indices", "agricultural plastic coefficient", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "Digital Atlas", "digital Atlas"]}, "links": [{"href": "http://www.mdpi.com/2076-3417/12/3/1330/pdf"}, {"href": "http://www.mdpi.com/2076-3417/12/15/7545/pdf"}, {"href": "https://www.mdpi.com/2076-3417/12/3/1330/pdf"}, {"href": "https://www.mdpi.com/2076-3417/12/15/7545/pdf"}, {"href": "https://doi.org/10.3390/app12031330"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Applied%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/app12031330", "name": "item", "description": "10.3390/app12031330", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/app12031330"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-26T00:00:00Z"}}, {"id": "10.3390/app12126068", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:23:20Z", "type": "Journal Article", "created": "2022-06-16", "title": "Comparison of Methods for Reconstructing MODIS Land Surface Temperature under Cloudy Conditions", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Land surface temperature (LST) is a vital parameter associated with the land\u2013atmosphere interface. The Moderate Resolution Imaging Spectroradiometer (MODIS) LST product can provide precise LST with high time resolution, and is widely applied in various remote sensing temperature research. However, due to its inability to penetrate the cloud and fog, its quality is not able to meet the requirements of actual research. Hence, obtaining continuous and cloudless MODIS LST datasets remains challenging for researchers. The critical point is to reconstruct missing pixels. To compare the performance of different methods, first, three kinds of methods were used to reconstruct the missing pixels, namely, temporal, spatial, and spatiotemporal methods. The predicted values using these methods were validated by the automatic weather system data (AWS) in the Heihe river basin of China. The results demonstrated that, compared with other methods, linear temporal interpolation using Aqua data had the best performance in MODIS LST reconstruction in the Heihe river basin, with an RMSE of 7.13 K and an R2 of 0.82, and the NSE and PBias were 0.78 and \u22120.76%, respectively. Furthermore, the interpolation method was improved using adaptive windows and robust regression. First, the international Geosphere\u2013Biosphere Program (IGBP) classification was employed to distinguish the different land surface types. Then, the invalid LST values were reconstructed using adjacent days\u2019 effective LST values combined with a robust regression. Finally, a mean filter was applied to eliminate outliers. The overall results combined with ERA5 data were validated by AWS, with an RMSE of 6.96 K and an R2 of 0.79 and the NSE and PBias were 0.77 and \u22120.20%, respectively. The validation demonstrated that the scheme proposed in this paper is able to accurately reconstruct the missing values and improve the accuracy of the interpolation method to a certain extent when reconstructing MODIS LST.</p></article>", "keywords": ["Technology", "land surface temperature (LST)", "reconstruction", "land surface temperature (LST); remote sensing; interpolation; reconstruction; MODIS", "QH301-705.5", "T", "Physics", "QC1-999", "Engineering (General). Civil engineering (General)", "01 natural sciences", "interpolation", "6. Clean water", "Chemistry", "remote sensing", "MODIS", "13. Climate action", "TA1-2040", "Biology (General)", "QD1-999", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2076-3417/12/12/6068/pdf"}, {"href": "https://doi.org/10.3390/app12126068"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Applied%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/app12126068", "name": "item", "description": "10.3390/app12126068", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/app12126068"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-06-15T00:00:00Z"}}, {"id": "10.3390/app12126194", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:23:21Z", "type": "Journal Article", "created": "2022-06-17", "title": "Natural Time Series Parameters Forecasting: Validation of the Pattern-Sequence-Based Forecasting (PSF) Algorithm; A New Python Package", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Climate change has contributed substantially to the weather and land characteristic phenomena. Accurate time series forecasting for climate and land parameters is highly essential in the modern era for climatologists. This paper provides a brief introduction to the algorithm and its implementation in Python. The pattern-sequence-based forecasting (PSF) algorithm aims to forecast future values of a univariate time series. The algorithm is divided into two major processes: the clustering of data and prediction. The clustering part includes the selection of an optimum value for the number of clusters and labeling the time series data. The prediction part consists of the selection of a window size and the prediction of future values with reference to past patterns. The package aims to ease the use and implementation of PSF for python users. It provides results similar to the PSF package available in R. Finally, the results of the proposed Python package are compared with results of the PSF and ARIMA methods in R. One of the issues with PSF is that the performance of forecasting result degrades if the time series has positive or negative trends. To overcome this problem difference pattern-sequence-based forecasting (DPSF) was proposed. The Python package also implements the DPSF method. In this method, the time series data are first differenced. Then, the PSF algorithm is applied to this differenced time series. Finally, the original and predicted values are restored by applying the reverse method of the differencing process. The proposed methodology is tested on several complex climate and land processes and its potential is evidenced.</p></article>", "keywords": ["Technology", "330", "QH301-705.5", "univariate", "T", "Physics", "QC1-999", "forecasting", "02 engineering and technology", "Engineering (General). Civil engineering (General)", "forecasting; univariate; time series; Python; PSF", "Chemistry", "0203 mechanical engineering", "13. Climate action", "0202 electrical engineering", " electronic engineering", " information engineering", "time series", "TA1-2040", "Biology (General)", "QD1-999", "PSF", "Python"]}, "links": [{"href": "http://www.mdpi.com/2076-3417/12/12/6194/pdf"}, {"href": "https://www.mdpi.com/2076-3417/12/12/6194/pdf"}, {"href": "https://research.usq.edu.au/download/a41f7e6afaf72d3aab08e4fbf5850ce9baed364db9cd274b284e7956b4aa1a6e/1339682/applsci-12-06194-v3.pdf"}, {"href": "https://doi.org/10.3390/app12126194"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Applied%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/app12126194", "name": "item", "description": "10.3390/app12126194", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/app12126194"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-06-17T00:00:00Z"}}, {"id": "10.3389/fbuil.2017.00069", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:23:08Z", "type": "Journal Article", "created": "2017-12-07", "title": "Gaussian Process Time-Series Models for Structures under Operational Variability", "description": "Open AccessISSN:2297-3362", "keywords": ["metamodels", "random coefficient", "02 engineering and technology", "Engineering (General). Civil engineering (General)", "0201 civil engineering", "time-series models", "HT165.5-169.9", "Structural Health Monitoring", "Structural Health Monitoring; Gaussian Process Time-Series Models", "gaussian process", "TA1-2040", "Gaussian Process Time-Series Models", "uncertainty", "City planning"]}, "links": [{"href": "https://doi.org/10.3389/fbuil.2017.00069"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Built%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/fbuil.2017.00069", "name": "item", "description": "10.3389/fbuil.2017.00069", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fbuil.2017.00069"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-12-08T00:00:00Z"}}, {"id": "10.3389/fbuil.2023.1237476", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:23:08Z", "type": "Journal Article", "created": "2023-08-31", "title": "Comparing the environmental impact of poultry manure and chemical fertilizers", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>One of the challenges in livestock production is the significant volume of manure generated, which must be appropriately managed to mitigate its environmental impacts. Untreated manure poses a potential hazard to soil, surface water, groundwater, and human and animal health. Based on the life cycle assessment (LCA) method, the research aims to evaluate the ecological load of composted-pelletized poultry litter (CPPL) in maize and winter wheat production. Furthermore, the environmental loads of CPPL applications are compared with those of other N, P, and K fertilizers. The research study utilized the openLCA software with the Agribalyse 3.1 database to calculate eleven impact categories. In the case of maize, only ozone depletion has higher emissions. For winter wheat production, scenarios where the P fertilizer was MAP had lower impacts for NPK combinations. While for the CPPL, fuel was the main contributor to loads, for the NPK fertilizer scenarios, energy use for fertilizer production contributed more. The results can be relevant to the burdens of using different nutrient replacement products and creating diverse feed mixtures. The application of CPPL promises to reduce the burden of crop production and, consequently, feed production. Additionally, it allows for the recovery of manure not useable by the livestock industry.</p></article>", "keywords": ["2. Zero hunger", "0211 other engineering and technologies", "environmental impacts", "02 engineering and technology", "15. Life on land", "maize", "Engineering (General). Civil engineering (General)", "7. Clean energy", "winter wheat", "12. Responsible consumption", "life cycle assessment", "HT165.5-169.9", "13. Climate action", "composted-pelletized poultry litter", "0202 electrical engineering", " electronic engineering", " information engineering", "TA1-2040", "City planning", "chemical fertilizers"]}, "links": [{"href": "https://doi.org/10.3389/fbuil.2023.1237476"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Built%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/fbuil.2023.1237476", "name": "item", "description": "10.3389/fbuil.2023.1237476", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fbuil.2023.1237476"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-08-31T00:00:00Z"}}, {"id": "10.3390/agriengineering7020029", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:23:17Z", "type": "Journal Article", "created": "2025-01-27", "title": "AI-Driven Insect Detection, Real-Time Monitoring, and Population Forecasting in Greenhouses", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Insecticide use in agriculture has significantly increased over the past decades, reaching 774 thousand metric tons in 2022. This widespread reliance on chemical insecticides has substantial economic, environmental, and human health consequences, highlighting the urgent need for sustainable pest management strategies. Early detection, insect monitoring, and population forecasting through Artificial Intelligence (AI)-based methods, can enable swift responsiveness, allowing for reduced but more effective insecticide use, mitigating traditional labor-intensive and error prone solutions. The main challenge is creating AI models that perform with speed and accuracy, enabling immediate farmer action. This study highlights the innovating potential of such an approach, focusing on the detection and prediction of black aphids under state-of-the-art Deep Learning (DL) models. A dataset of 220 sticky paper images was captured. The detection system employs a YOLOv10 DL model that achieved an accuracy of 89.1% (mAP50). For insect population prediction, random forests, gradient boosting, LSTM, and the ARIMA, ARIMAX, and SARIMAX models were evaluated. The ARIMAX model performed best with a Mean Square Error (MSE) of 75.61, corresponding to an average deviation of 8.61 insects per day between predicted and actual insect counts. For the visualization of the detection results, the DL model was embedded to a mobile application. This holistic approach supports early intervention strategies and sustainable pest management while offering a scalable solution for smart-agriculture environments.</p></article>", "keywords": ["machine learning", "Agriculture (General)", "insect detection", "deep learning", "black aphids", "mobile application", "TA1-2040", "Engineering (General). Civil engineering (General)", "insect population prediction", "S1-972"]}, "links": [{"href": "https://www.mdpi.com/2624-7402/7/2/29/pdf"}, {"href": "https://doi.org/10.3390/agriengineering7020029"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/AgriEngineering", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/agriengineering7020029", "name": "item", "description": "10.3390/agriengineering7020029", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/agriengineering7020029"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-01-27T00:00:00Z"}}, {"id": "10.3390/app10176132", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:23:20Z", "type": "Journal Article", "created": "2020-09-03", "title": "Visualizations of Uncertainties in Precision Agriculture: Lessons Learned from Farm Machinery", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Detailed measurements of yield values are becoming a common practice in precision agriculture. Field harvesters generate point Big Data as they provide yield measurements together with dozens of complex attributes in a frequency of up to one second. Such a flood of data brings uncertainties caused by several factors: accuracy of the positioning system used, trajectory overlaps, raising the cutting bar due to obstacles or unevenness, and so on. This paper deals with 2D and 3D cartographic visualizations of terrain, measured yield, and its uncertainties. Four graphic variables were identified as credible for visualizations of uncertainties in point Big Data. Data from two plots at a fully operational farm were used for this purpose. ISO 19157 was examined for its applicability and a proof-of-concept for selected uncertainty expression was defined. Special attention was paid to spatial pattern interpretations.</p></article>", "keywords": ["point Big Data", "Technology", "QH301-705.5", "T", "Physics", "QC1-999", "0211 other engineering and technologies", "interactive 3D visualization", "ISO 19157", "02 engineering and technology", "Engineering (General). Civil engineering (General)", "uncertainty expression", "Chemistry", "yield measurements", "0202 electrical engineering", " electronic engineering", " information engineering", "TA1-2040", "Biology (General)", "QD1-999"]}, "links": [{"href": "http://www.mdpi.com/2076-3417/10/17/6132/pdf"}, {"href": "https://www.mdpi.com/2076-3417/10/17/6132/pdf"}, {"href": "https://doi.org/10.3390/app10176132"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Applied%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/app10176132", "name": "item", "description": "10.3390/app10176132", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/app10176132"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-09-03T00:00:00Z"}}, {"id": "10.3390/app11062644", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:23:20Z", "type": "Journal Article", "created": "2021-03-16", "title": "Numerical Insight into the Kelvin-Helmholtz Instability Appearance in Cavitating Flow", "description": "<p>Recently the development of Kelvin-Helmholtz instability in cavitating flow in Venturi microchannels was discovered. Its importance is not negligible, as it destabilizes the shear layer and promotes instabilities and turbulent eddies formation in the vapor region, having low density and momentum. In the present paper, we give a very brief summary of the experimental findings and in the following, we use a computational fluid dynamics (CFD) study to peek deeper into the onset of the Kelvin-Helmholtz instability and its effect on the dynamics of the cavitation cloud shedding. Finally, it is shown that Kelvin-Helmholtz instability is beside the re-entrant jet and the condensation shock wave the third mechanism of cavitation cloud shedding in Venturi microchannels. The shedding process is quasi-periodic.</p>", "keywords": ["Kelvin-Helmholtz instability", "Technology", "mikrokanali", "QH301-705.5", "T", "Physics", "QC1-999", "Engineering (General). Civil engineering (General)", "01 natural sciences", "Kelvin-Helmholtzova nestabilnost", "kavitacija", "Chemistry", "cavitation", "numerical simulation", "numeri\u010dne simulacije", "0103 physical sciences", "microchannel", "14. Life underwater", "info:eu-repo/classification/udc/519.876.5:532.528(045)", "TA1-2040", "Biology (General)", "QD1-999"]}, "links": [{"href": "http://www.mdpi.com/2076-3417/11/6/2644/pdf"}, {"href": "https://www.mdpi.com/2076-3417/11/6/2644/pdf"}, {"href": "https://doi.org/10.3390/app11062644"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Applied%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/app11062644", "name": "item", "description": "10.3390/app11062644", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/app11062644"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-16T00:00:00Z"}}, {"id": "10.3390/app11062746", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:23:20Z", "type": "Journal Article", "created": "2021-03-19", "title": "Halophyte Plants and Their Residues as Feedstock for Biogas Production\u2014Chances and Challenges", "description": "<p>The importance of green technologies is steadily growing. Salt-tolerant plants have been proposed as energy crops for cultivation on saline lands. Halophytes such as Salicornia europaea, Tripolium pannonicum, Crithmum maritimum and Chenopodium quinoa, among many other species, can be cultivated in saline lands, in coastal areas or for treating saline wastewater, and the biomass might be used for biogas production as an integrated process of biorefining. However, halophytes have different salt tolerance mechanisms, including compartmentalization of salt in the vacuole, leading to an increase of sodium in the plant tissues. The sodium content of halophytes may have an adverse effect on the anaerobic digestion process, which needs adjustments to achieve stable and efficient conversion of the halophytes into biogas. This review gives an overview of the specificities of halophytes that needs to be accounted for using their biomass as feedstocks for biogas plants in order to expand renewable energy production. First, the different physiological mechanisms of halophytes to grow under saline conditions are described, which lead to the characteristic composition of the halophyte biomass, which may influence the biogas production. Next, possible mechanisms to avoid negative effects on the anaerobic digestion process are described, with an overview of full-scale applications. Taking all these aspects into account, halophyte plants have a great potential for biogas and methane production with yields similar to those produced by other energy crops and the simultaneous benefit of utilization of saline soils.</p>", "keywords": ["anaerobic digestion", "0301 basic medicine", "Technology", "Inoculum adaptation", "QH301-705.5", "QC1-999", "Plant physiology", "Salicornia europaea", "Co-digestion", "7. Clean energy", "biogas production", "03 medical and health sciences", "Anaerobic digestion", "co-digestion", "Biology (General)", "Chenopodium quinoa", "QD1-999", "<i>Crithmum maritimum</i>", "2. Zero hunger", "0303 health sciences", "T", "Physics", "Sa-linity", "Crithmum maritimum", "Tripolium pannonicum", "15. Life on land", "Engineering (General). Civil engineering (General)", "Biogas production", "Dewey Decimal Classification::600 | Technik", "6. Clean water", "<i>Chenopodium quinoa</i>", "Chemistry", "13. Climate action", "TA1-2040", "Halophyte composition", "halophyte composition"]}, "links": [{"href": "https://www.mdpi.com/2076-3417/11/6/2746/pdf"}, {"href": "https://doi.org/10.3390/app11062746"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Applied%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/app11062746", "name": "item", "description": "10.3390/app11062746", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/app11062746"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-18T00:00:00Z"}}, {"id": "10.3390/app12010341", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:23:20Z", "type": "Journal Article", "created": "2021-12-31", "title": "Replacing Mineral Fertilisers for Bio-Based Fertilisers in Potato Growing on Sandy Soil: A Case Study", "description": "<p>The refinement level of bio-based fertilisers (BBFs) can influence environmental and agronomic performance. This study analyses the environmental and agronomic effect of different BBFs on potato growing in sandy soil. A less refined product (liquid fraction of digestate (LFD)), two refined products (ammonium sulphate (AS) and potassium concentrate (KC)), and mineral fertilizer (MF) are compared by conducting: (i) a nitrogen (N) incubation experiment where the N release rate of the BBFs is determined, (ii) a greenhouse gas emission experiment where N2O, CO2, and CH4 emissions after BBF application are measured, (iii) a pot experiment where the nutrient fertiliser replacement value (NFRV) of the BBF is calculated, and (iv) a full-scale field trial where the potato quality and quantity and the remaining N residues in the soil after harvest are assessed. The N release rate and the NFRV of AS (142 \uffc2\uffb1 19% and 1.13, respectively) was higher compared with the LFD (113 \uffc2\uffb1 24% and 1.04) and MF (105 \uffc2\uffb1 16% and 1.00). Lowest N2O emissions were observed after the application of the less refined product (0.02 \uffc2\uffb1 0.01 per 100 g N applied) and highest for MF urea (0.11 \uffc2\uffb1 0.02 per 100 g N applied). In the full-scale field trial, no significant difference in potato yield was observed in the plots that received manure in combination with BBF or MF. This study showed that all three BBFs can safely be used in potato growing on sandy soils. However, the adoption of BBFs can be stimulated by (i) solving the practical issues that occurred during the application of LFD, (ii) making sure BBFs are on the list of RENURE materials so they can legally replace mineral fertiliser, and (iii) reducing the surplus of slurry manure to stimulate the use and fair pricing of BBF products.</p>", "keywords": ["Agriculture and Food Sciences", "Technology", "QH301-705.5", "QC1-999", "NITROUS-OXIDE EMISSIONS", "environmental impact", "Environmental impact", "agricultural circularity", "Biology (General)", "agricultural circularity; sustainable agriculture; environmental impact; manure processing; GHG emissions; fertiliser replacement value", "QD1-999", "manure processing", "fertiliser replacement value", "2. Zero hunger", "Fertiliser replacement value", "MANURE", "Agricultural circularity", "T", "Physics", "Sustainable agriculture", "04 agricultural and veterinary sciences", "Engineering (General). Civil engineering (General)", "6. Clean water", "sustainable agriculture", "GHG emissions", "Chemistry", "13. Climate action", "Earth and Environmental Sciences", "RESIDUES", "0401 agriculture", " forestry", " and fisheries", "TA1-2040", "Manure processing", "NITRATE"]}, "links": [{"href": "http://www.mdpi.com/2076-3417/12/1/341/pdf"}, {"href": "https://www.mdpi.com/2076-3417/12/1/341/pdf"}, {"href": "https://doi.org/10.3390/app12010341"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Applied%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/app12010341", "name": "item", "description": "10.3390/app12010341", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/app12010341"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-12-30T00:00:00Z"}}, {"id": "10.3390/app12020840", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:23:20Z", "type": "Journal Article", "created": "2022-01-14", "title": "Extraction and Quantification of Chlorophylls, Carotenoids, Phenolic Compounds, and Vitamins from Halophyte Biomasses", "description": "<p>Halophytes are salt-tolerant plants, and they have been utilised as healthy, nutritious vegetables and medicinal herbs. Various studies have shown halophytes to be rich in health-beneficial compounds with antioxidant activity, anti-inflammatory and antimicrobial effects, and cytotoxic properties. Despite their potential, these plants are still underutilised in agriculture and industrial applications. This review includes the state-of-the-art literature concerning the contents of proanthocyanidins (also known as condensed tannins), total phenolic compounds, photosynthetic pigments (chlorophyll and carotenoids), and vitamins in various halophyte biomasses. Various extraction and analytical methods are also considered. The study shows that various species have exhibited potential for use not only as novel food products but also in the production of nutraceuticals and as ingredients for cosmetics and pharmaceuticals.</p>", "keywords": ["Pigments", "2. Zero hunger", "0301 basic medicine", "Technology", "0303 health sciences", "saline cultivation", "QH301-705.5", "halophytes", "pigments", "phenolics", "T", "Physics", "QC1-999", "Saline cultivation", "Bioactive molecules", "Engineering (General). Civil engineering (General)", "Chemistry", "03 medical and health sciences", "Halophytes", "bioactive molecules", "Phenolics", "TA1-2040", "Biology (General)", "QD1-999"]}, "links": [{"href": "https://www.mdpi.com/2076-3417/12/2/840/pdf"}, {"href": "https://doi.org/10.3390/app12020840"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Applied%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/app12020840", "name": "item", "description": "10.3390/app12020840", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/app12020840"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-14T00:00:00Z"}}, {"id": "10.3390/app12146944", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:23:21Z", "type": "Journal Article", "created": "2022-07-08", "title": "Portable X-ray Fluorescence Analysis of Organic Amendments: A Review", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Portable XRF spectrometry (pXRF) has recently undergone significant technological improvements and is being applied in a wide range of studies. Despite pXRF advantages, this technique has rarely been used to characterize organic amendments and residues. This article reviews those studies undertaken to date in which pXRF is used to characterize these products. Published studies show that pXRF correctly measures elements such as Fe, Pb, Zn, Mn, Ca, and K but gives conflicting results for elements such as Cr, Ni, and As. Among the reasons that may cause the low performance of the technique with certain elements or under certain measurement conditions would be the inadequacy of the analytical comparison procedures used (i.e., digestion with aqua regia), the lack of knowledge of the interfering effects of organic matter, and sample moisture on the XRF signals and the need for a standardized protocol for performing the measurements. However, the speed and low cost of the procedure forecast a greater future use of this technique, especially in cooperation with other fast spectroscopic techniques based on near-infrared (NIRS) or mid-infrared (MIR) spectroscopies. Chemometric procedures based on one or more of these techniques will allow the prediction of elements below the detection limit of pXRF instruments (Cd, Hg), or other properties of organic amendments (organic matter, N, electrical conductivity, cation exchange capacity).</p></article>", "keywords": ["compost", "Technology", "pXRF", "QH301-705.5", "T", "Physics", "QC1-999", "biosolids", "Hand-held XRF", "hand-held XRF", "Compost", "04 agricultural and veterinary sciences", "Engineering (General). Civil engineering (General)", "01 natural sciences", "Manure", "Chemistry", "Biosolids", "manure", "0401 agriculture", " forestry", " and fisheries", "TA1-2040", "Biology (General)", "QD1-999", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Rafael L\u00f3pez-N\u00fa\u00f1ez", "roles": ["creator"]}]}, "links": [{"href": "https://www.mdpi.com/2076-3417/12/14/6944/pdf"}, {"href": "https://doi.org/10.3390/app12146944"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Applied%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/app12146944", "name": "item", "description": "10.3390/app12146944", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/app12146944"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-07-08T00:00:00Z"}}, {"id": "10.3390/app12157545", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:23:21Z", "type": "Journal Article", "created": "2022-01-26", "title": "Implementing a GIS-Based Digital Atlas of Agricultural Plastics to Reduce Their Environmental Footprint: Part II, an Inductive Approach", "description": "<p>The agricultural sector has benefitted over the last century from several factors that have led to an exponential increase in its productive efficiency. The increasing use of new materials, such as plastics, has been one of the most important factors, as they have allowed for increased production in a simpler and more economical way. Various polymer types are used in different phases of the agricultural production cycle, but when their use is incorrectly managed, it can lead to different environmental impacts. In this study, an applied and simplified methodology to manage agricultural plastics monitoring and planning is proposed. The techniques used are based on quantification through the use of different datasets (orthophotos and satellite images) of the areas covered by plastics used for crop protection. The study area chosen is a part of the Ionian Coast of Southern Italy, which includes the most important municipalities of the Basilicata Region for fruit and vegetable production. The use of geographical techniques and observation methodologies, developed in an open-source GIS environment, enabled accurate location of about 2000 hectares of agricultural land covered by plastics, as well as identification of the areas most susceptible to the accumulation of plastic waste. The techniques and the model implemented, due to its simplicity of use and reliability, can be applied by different local authorities in order to realize an Atlas of agricultural plastics, which would be applied for continuous monitoring, thereby enabling the upscaling of future social and ecological impact assessments, identification of new policy impacts, market searches, etc.</p>", "keywords": ["Technology", "remote sensing indice", "Microplastics", "sustainable plasticulture", "0211 other engineering and technologies", "Plastic greenhouse", "02 engineering and technology", "remote sensing indices", "01 natural sciences", "630", "RPGI", "11. Sustainability", "0202 electrical engineering", " electronic engineering", " information engineering", "Biology (General)", "Agro-plastics", "plastic footprint", "2. Zero hunger", "T", "Physics", "04 agricultural and veterinary sciences", "Engineering (General). Civil engineering (General)", "plastic greenhouse", "6. Clean water", "Sustainable plasticulture", "Chemistry", "agricultural plastic surface", "Agricultural plastic surface", "agro-plastics; digital Atlas; agricultural plastic surface; remote sensing indices; RPGI; plastic footprint", "agro\u2010plastic", "TA1-2040", "microplastic", "microplastics", "330", "QH301-705.5", "Soil pollution", "QC1-999", "Plastic footprint", "digital Atla", "Agro\u2010plastic", "12. Responsible consumption", "Agricultural plastic coefficient", "QD1-999", "agro-plastics", "0105 earth and related environmental sciences", "soil pollution", "Mulching film", "mulching film", "plastic greenhouse; mulching film; microplastics; soil pollution; agricultural plastic coefficient; sustainable plasticulture", "15. Life on land", "Remote sensing indices", "agricultural plastic coefficient", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "Digital Atlas", "digital Atlas"]}, "links": [{"href": "http://www.mdpi.com/2076-3417/12/3/1330/pdf"}, {"href": "http://www.mdpi.com/2076-3417/12/15/7545/pdf"}, {"href": "https://www.mdpi.com/2076-3417/12/3/1330/pdf"}, {"href": "https://www.mdpi.com/2076-3417/12/15/7545/pdf"}, {"href": "https://doi.org/10.3390/app12157545"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Applied%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/app12157545", "name": "item", "description": "10.3390/app12157545", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/app12157545"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-26T00:00:00Z"}}, {"id": "10.3390/app13010612", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:23:21Z", "type": "Journal Article", "created": "2023-01-02", "title": "Prospective Scenarios for Addressing the Agricultural Plastic Waste Issue: Results of a Territorial Analysis", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Agricultural activities have been positively affected by the use of plastic products, but this has resulted in the production of plastic waste and led to an increase in environmental pollution. To continue benefiting from the use of plastics but addressing at the same time the environmental issue, two strategies seem viable: the development of technologies for extending plastics lifespan and the gradual replacement of traditional non-biodegradable materials by biodegradable ones, at least for some products. This study focuses on a territorial analysis, performed using a Geographic Information System (GIS) in an agricultural area of the Apulia region (southern Italy). Areas of agricultural plastic waste production were identified through land-use maps. The application of plastic waste indices to different crop types and plastic products allowed quantifying and georeferencing actual plastic waste production. From this actual visualization, the other strategies were obtained by properly managing the indices. Two improved scenarios were obtained, the first consisted of extending the lifespan of some plastics, and the second entailed the introduction of some biodegradable alternatives. About 11,103 tons of agricultural plastic waste are yearly produced in the area and 7450 tons come from covering films. Lifespan extension would reduce the annual waste amount by about 25%, while more alternative products are needed to achieve significant results in the second scenario.</p></article>", "keywords": ["Technology", "QH301-705.5", "QC1-999", "plastic detection", "01 natural sciences", "12. Responsible consumption", "Land Use", "11. Sustainability", "Biology (General)", "Waste management", "QD1-999", "0105 earth and related environmental sciences", "2. Zero hunger", "products lifespan", "T", "Physics", "sustainability; GIS; land use; plastic detection; waste management; biodegradable plastic; products lifespan", "land use", "Plastic detection", "04 agricultural and veterinary sciences", "biodegradable plastic", "15. Life on land", "Biodegradable plastic", "sustainability", "GIS", "Engineering (General). Civil engineering (General)", "Chemistry", "Sustainability", "13. Climate action", "Products lifespan", "0401 agriculture", " forestry", " and fisheries", "waste management", "TA1-2040"]}, "links": [{"href": "http://www.mdpi.com/2076-3417/13/1/612/pdf"}, {"href": "https://www.mdpi.com/2076-3417/13/1/612/pdf"}, {"href": "https://doi.org/10.3390/app13010612"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Applied%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/app13010612", "name": "item", "description": "10.3390/app13010612", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/app13010612"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-02T00:00:00Z"}}, {"id": "10.3390/app14051917", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:23:21Z", "type": "Journal Article", "created": "2024-02-26", "title": "Effects of Anaerobic Digestates and Biochar Amendments on Soil Health, Greenhouse Gas Emissions, and Microbial Communities: A Mesocosm Study", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>This study addresses the need for a comprehensive understanding of digestate and biochar in mitigating climate change and improving soil health, crucial for sustainable agriculture within the circular bioeconomy framework. Through a mesocosm experiment, soil was amended with digestates from pilot-scale reactors and two concentrations of biochar produced by pyrolysis of digested sewage sludge and waste wood. The Germination Index (GI) assay assessed phytotoxicity on Lactuca sativa and Triticum aestivum seeds. Greenhouse gas emissions (CO2, CH4, N2O) measurements, soil characteristics analyses, and the study of microbial community structure enriched the study\u2019s depth. The GI assay revealed diverse responses among by-products, dilution rates, and plant types, highlighting the potential phyto-stimulatory effects of digestate and biochar water-extracts. While digestate proved to be effective as fertilizer, concerns arose regarding microbial contamination. Biochar application reduced Clostridiaceae presence in soil but unexpectedly increased N2O emissions at higher concentrations, emphasizing the need for further research on biochar\u2019s role in mitigating microbial impacts. CO2 emissions increased with digestate application but decreased with a 10% biochar concentration, aligning with control levels. CH4 uptake decreased with digestate and high biochar concentrations. The study underscores the importance of tailored approaches considering biochar composition and dosage to optimize soil greenhouse gas fluxes and microbial communities.</p></article>", "keywords": ["Technology", "m\u00e4d\u00e4te", "QH301-705.5", "QC1-999", "Clostridiaceae", "ravinteet", "01 natural sciences", "630", "333", "12. Responsible consumption", "greenhouse gas emission", "biochar", "Biology (General)", "microorganisms", "QD1-999", "0105 earth and related environmental sciences", "2. Zero hunger", "biohiili", "soil nutrient", "T", "Physics", "04 agricultural and veterinary sciences", "15. Life on land", "Clostridiae", "Engineering (General). Civil engineering (General)", "6. Clean water", "Chemistry", "kasvihuonekaasut", "13. Climate action", "digestate", "mikro-organismit", "0401 agriculture", " forestry", " and fisheries", "TA1-2040"]}, "links": [{"href": "https://www.mdpi.com/2076-3417/14/5/1917/pdf"}, {"href": "https://doi.org/10.3390/app14051917"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Applied%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/app14051917", "name": "item", "description": "10.3390/app14051917", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/app14051917"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-02-26T00:00:00Z"}}, {"id": "10.3390/app142210693", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:23:21Z", "type": "Journal Article", "created": "2024-11-19", "title": "Corn Plant In-Row Distance Analysis Based on Unmanned Aerial Vehicle Imagery and Row-Unit Dynamics", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Uniform spatial distribution of plants is crucial in arable crops. Seeding quality is affected by numerous parameters, including the working speed and vibrations of the seeder. Therefore, investigating effective and rapid methods to evaluate seeding quality and the parameters affecting the seeders\u2019 performance is of high importance. With the latest advancements in unmanned aerial vehicle (UAV) technology, the potential for acquiring accurate agricultural data has significantly increased, making UAVs an ideal tool for scouting applications in agricultural systems. This study investigates the effectiveness of utilizing different plant recognition algorithms applied to UAV-derived images for evaluating seeder performance based on detected plant spacings. Additionally, it examines the impact of seeding unit vibrations on seeding quality by analyzing accelerometer data installed on the seeder. For the image analysis, three plant recognition approaches were tested: an unsupervised segmentation method based on the Visible Atmospherically Resistant Index (VARI), template matching (TM), and a deep learning model called Mask R-CNN. The Mask R-CNN model demonstrated the highest recognition reliability at 96.7%, excelling in detecting seeding errors such as misses and doubles, as well as in evaluating the quality of feed index and precision when compared to ground-truth data. Although the VARI-based unsupervised method and TM outperformed Mask R-CNN in recognizing double spacings, overall, the Mask R-CNN was the most promising. Vibration analysis indicated that the seeder\u2019s working speed significantly affected seeding quality. These findings suggest areas for potential improvements in machine technology to improve sowing operations.</p></article>", "keywords": ["0106 biological sciences", "Technology", "QH301-705.5", "T", "Physics", "QC1-999", "UAV imagery", "deep learning", "04 agricultural and veterinary sciences", "Engineering (General). Civil engineering (General)", "01 natural sciences", "FFT", "Chemistry", "seeding quality", "0401 agriculture", " forestry", " and fisheries", "TA1-2040", "Biology (General)", "QD1-999", "vibration analysis"]}, "links": [{"href": "https://www.mdpi.com/2076-3417/14/22/10693/pdf"}, {"href": "https://doi.org/10.3390/app142210693"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Applied%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/app142210693", "name": "item", "description": "10.3390/app142210693", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/app142210693"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-19T00:00:00Z"}}, {"id": "10.5194/isprs-archives-XLII-4-W2-121-2017", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:24:35Z", "type": "Journal Article", "created": "2017-07-17", "title": "FLOWERED-GEODBAPP: AN APPLICATION BASED ON CROWD-GENERATING DATA USING SENTINEL2 IMAGERY", "description": "<p>Abstract. This study is part of the EU H2020 research Project FLOWERED (de-FLuoridation technologies for imprOving quality of WatEr and agRo-animal products along the East African Rift Valley in the context of aDaptation to climate change). FLOWERED project aims to develop technologies and methodologies at cross-boundary catchment scales to manage the risks associated with high Fluoride water supply in Africa, focusing on three representative test areas along the African Rift Valley (i.e. Ethiopia, Kenya and Tanzania), characterized by high fluoride contents in waters and soils, water scarcity, overexploitation of groundwater and high vulnerability to risks arising from climate change, as drought and desertification. It also is empowering local communities to take responsibility for the integrated-sustainability of the natural resources, growing national and international environmental priorities, enhancing transboundary cooperation and promoting local ownership based on a scientific and technological approach.  Within the FLOWERED project, the transition from the land cover to the land use and water use maps is provided through the development of a mobile application (FLOWERED-GeoDBapp ). It is dedicated to the collection of local geo-information on land use, water uses, irrigation systems, household features, use of drinking water and the other information needful for the specific knowledge of water supply involving local communities through participative approach. This system is structured to be populated, through an action of crowd-generating data by local communities (students and people involved mainly by NGOs). The SHAREGEODBapp is proposed as an innovative tool for water management and agriculture institutions at regional and local level.                     </p>", "keywords": ["2. Zero hunger", "Technology", "Land cover", " ESA Sentinel", " Crowd-generating data", " Rift Valley", " Fluoride", "T", "0207 environmental engineering", "1. No poverty", "02 engineering and technology", "15. Life on land", "Engineering (General). Civil engineering (General)", "01 natural sciences", "6. Clean water", "TA1501-1820", "12. Responsible consumption", "13. Climate action", "11. Sustainability", "Applied optics. Photonics", "TA1-2040", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://iris.unica.it/bitstream/11584/219983/1/FOSS4G-EU_2017_paper_31%20%283%29.pdf"}, {"href": "https://isprs-archives.copernicus.org/articles/XLII-4-W2/121/2017/isprs-archives-XLII-4-W2-121-2017.pdf"}, {"href": "https://doi.org/10.5194/isprs-archives-XLII-4-W2-121-2017"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20International%20Archives%20of%20the%20Photogrammetry%2C%20Remote%20Sensing%20and%20Spatial%20Information%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/isprs-archives-XLII-4-W2-121-2017", "name": "item", "description": "10.5194/isprs-archives-XLII-4-W2-121-2017", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/isprs-archives-XLII-4-W2-121-2017"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-07-05T00:00:00Z"}}, {"id": "10.5194/isprs-archives-XLIII-B2-2020-659-2020", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:24:35Z", "type": "Journal Article", "created": "2020-08-12", "title": "CLASSIFICATION OF UAV-BASED PHOTOGRAMMETRIC POINT CLOUDS OF RIVERINE SPECIES USING MACHINE LEARNING ALGORITHMS: A CASE STUDY IN THE PALANCIA RIVER, SPAIN", "description": "<p>Abstract. The management of riverine areas is fundamental due to their great environmental importance. The fast changes that occur in these areas due to river mechanics and human pressure makes it necessary to obtain data with high temporal and spatial resolution. This study proposes a workflow to map riverine species using Unmanned Aerial Vehicle (UAV) imagery. Based on RGB point clouds, our work derived simple geometric and spectral metrics to classify an area of the public hydraulic domain of the river Palancia (Spain) in five different classes: Tamarix gallica L. (French tamarisk), Pinus halepensis Miller (Aleppo pine), Arundo donax L. (giant reed), other riverine species and ground. A total of six Machine Learning (ML) methods were evaluated: Decision Trees, Extra Trees, Multilayer Perceptron, K-Nearest Neighbors, Random Forest and Ridge. The method chosen to carry out the classification was Random Forest, which obtained a mean score cross-validation close to 0.8. Subsequently, an object-based reclassification was done to improve this result, obtaining an overall accuracy of 83.6%, and individually a producer\uffe2\uff80\uff99s accuracy of 73.8% for giant reed, 87.7% for Aleppo pine, 82.8% for French tamarisk, 93.5% for ground and 80.1% for other riverine species. Results were promising, proving the feasibility of using this cost-effective method for periodic monitoring of riverine species. In addition, the proposed workflow is easily transferable to other tasks beyond riverine species classification (e.g., green areas detection, land cover classification) opening new opportunities in the use of UAVs equipped with consumer cameras for environmental applications.                     </p>", "keywords": ["Technology", "Point cloud classification", " UAV", " Structure from Motion", " Random forest", " Riverine species", "T", "UAV", "0211 other engineering and technologies", "02 engineering and technology", "15. Life on land", "Engineering (General). Civil engineering (General)", "01 natural sciences", "Structure from Motion", "TA1501-1820", "13. Climate action", "INGENIERIA CARTOGRAFICA", " GEODESIA Y FOTOGRAMETRIA", "Applied optics. Photonics", "Riverine species", "TA1-2040", "Point cloud classification", "Random forest", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://isprs-archives.copernicus.org/articles/XLIII-B2-2020/659/2020/isprs-archives-XLIII-B2-2020-659-2020.pdf"}, {"href": "https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-659-2020"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20International%20Archives%20of%20the%20Photogrammetry%2C%20Remote%20Sensing%20and%20Spatial%20Information%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/isprs-archives-XLIII-B2-2020-659-2020", "name": "item", "description": "10.5194/isprs-archives-XLIII-B2-2020-659-2020", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/isprs-archives-XLIII-B2-2020-659-2020"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-08-12T00:00:00Z"}}, {"id": "10.5194/isprs-archives-XLII-3-1263-2018", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:24:35Z", "type": "Journal Article", "created": "2018-05-01", "title": "IMPROVING LAND COVER MAPPING: A MOBILE APPLICATION BASED ON ESA SENTINEL 2 IMAGERY", "description": "<p>Abstract. The increasing availability of satellite data is a real value for the enhancement of environmental knowledge and land management. Possibilities to integrate different source of geo-data are growing and methodologies to create thematic database are becoming very sophisticated. Moreover, the access to internet services and, in particular, to web mapping services is well developed and spread either between expert users than the citizens. Web map services, like Google Maps or Open Street Maps, give the access to updated optical imagery or topographic maps but information on land cover/use \uffe2\uff80\uff93 are not still provided. Therefore, there are many failings in the general utilization \uffe2\uff80\uff93non-specialized users- and access to those maps. This issue is particularly felt where the digital (web) maps could form the basis for land use management as they are more economic and accessible than the paper maps. These conditions are well known in many African countries where, while the internet access is becoming open to all, the local map agencies and their products are not widespread.                     </p>", "keywords": ["Tanzania; Kenya; Crowd-generating data; Rift Valley; Fluoride; Sentinel", "Technology", "T", "11. Sustainability", "0211 other engineering and technologies", "Applied optics. Photonics", "02 engineering and technology", "TA1-2040", "15. Life on land", "Engineering (General). Civil engineering (General)", "01 natural sciences", "TA1501-1820", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://iris.unica.it/bitstream/11584/245765/1/isprs-archives-XLII-3-1263-2018.pdf"}, {"href": "https://isprs-archives.copernicus.org/articles/XLII-3/1263/2018/isprs-archives-XLII-3-1263-2018.pdf"}, {"href": "https://doi.org/10.5194/isprs-archives-XLII-3-1263-2018"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20International%20Archives%20of%20the%20Photogrammetry%2C%20Remote%20Sensing%20and%20Spatial%20Information%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/isprs-archives-XLII-3-1263-2018", "name": "item", "description": "10.5194/isprs-archives-XLII-3-1263-2018", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/isprs-archives-XLII-3-1263-2018"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-04-30T00:00:00Z"}}, {"id": "10261/398008", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:28:21Z", "type": "Journal Article", "created": "2025-03-04", "title": "Long-term effects of tillage practices and future climate scenarios on topsoil organic carbon stocks in Lower Austria \u2013 A modelling and long-term experiment study", "description": "Open AccessPeer reviewed", "keywords": ["soil organic carbon", "Soil organic carbon", "Conservation agriculture", "Lower Austria", "N14CP model", "Long-term experiment", "Climate change", "TA1-2040", "Engineering (General). Civil engineering (General)"]}, "links": [{"href": "https://doi.org/10261/398008"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Soil%20and%20Water%20Conservation%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/398008", "name": "item", "description": "10261/398008", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/398008"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-06-01T00:00:00Z"}}, {"id": "10.5194/isprs-archives-xlii-2-w17-143-2019", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:24:35Z", "type": "Journal Article", "created": "2019-11-29", "title": "3DMOVER 2.0 \u2013 LOW-COST APPLICATION FOR USABILITY TESTING OF 3D GEOVISUALISATIONS", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Three-dimensional (3D) visualisations of geospatial data have become very popular in the last years. Various applications and tools are based on interactive 3D geovisualisations. However, the user aspects of these 3D geovisualisations are not yet fully understood. While several studies have focused on how users work with these 3D geovisualisations, only few studies focus directly on interactive 3D geovisualisations and employ usability research methods like screen logging. This method enables the objective recording of movement in 3D virtual environments and of user interactions in general. Therefore, we created a web-based research tool: a 3D Movement and Interaction Recorder (3DmoveR). This tool is based on the user logging method, combined with a digital questionnaire and practical spatial tasks. The design and implementation of this tool follow the spiral model, and its current version is 2.0. It is implemented using open web technologies such as PHP, JavaScript, and the Three.js library. After building this tool, we verified it through load testing and a simple pilot test verifying accessibility. We continued to describe the first deployment of 3DmoveR 2.0 in a real user study. The future modifications and applications of 3DmoveR 2.0 are discussed in the conclusion section. Attention was paid to future deployment during user testing outside controlled (laboratory) conditions.                     </p></article>", "keywords": ["Technology", "T", "05 social sciences", "0211 other engineering and technologies", "0507 social and economic geography", "Applied optics. Photonics", "02 engineering and technology", "TA1-2040", "Engineering (General). Civil engineering (General)", "TA1501-1820"], "contacts": [{"organization": "Herman, L.", "roles": ["creator"]}]}, "links": [{"href": "https://isprs-archives.copernicus.org/articles/XLII-2-W17/143/2019/isprs-archives-XLII-2-W17-143-2019.pdf"}, {"href": "https://doi.org/10.5194/isprs-archives-xlii-2-w17-143-2019"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20International%20Archives%20of%20the%20Photogrammetry%2C%20Remote%20Sensing%20and%20Spatial%20Information%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/isprs-archives-xlii-2-w17-143-2019", "name": "item", "description": "10.5194/isprs-archives-xlii-2-w17-143-2019", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/isprs-archives-xlii-2-w17-143-2019"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-11-29T00:00:00Z"}}, {"id": "10.5194/isprs-archives-xlii-3-w6-9-2019", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:24:35Z", "type": "Journal Article", "created": "2019-07-29", "title": "EVAPOTRANSPIRATION AND EVAPORATION/TRANSPIRATION RETRIEVAL USING DUAL-SOURCE SURFACE ENERGY BALANCE MODELS INTEGRATING VIS/NIR/TIR DATA WITH SATELLITE SURFACE SOIL MOISTURE INFORMATION", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Evapotranspiration is an important component of the water cycle. For the agronomic management and ecosystem health monitoring, it is also important to provide an estimate of evapotranspiration components, i.e. transpiration and soil evaporation. To do so, Thermal InfraRed data can be used with dual-source surface energy balance models, because they solve separate energy budgets for the soil and the vegetation. But those models rely on specific assumptions on raw levels of plant water stress to get both components (evaporation and transpiration) out of a single source of information, namely the surface temperature. Additional information from remote sensing data are thus required. This works evaluates the ability of the SPARSE dual-source energy balance model to compute not only total evapotranspiration, but also water stress and transpiration/evaporation components, using either the sole surface temperature as a remote sensing driver, or a combination of surface temperature and soil moisture level derived from microwave data. Flux data at an experimental plot in semi-arid Morocco is used to assess this potentiality and shows the increased robustness of both the total evapotranspiration and partitioning retrieval performances. This work is realized within the frame of the Phase A activities for the TRISHNA CNES/ISRO Thermal Infra-Red satellite mission.                     </p></article>", "keywords": ["Technology", "Environmental Engineering", "550", "Ecosystem Resilience", "Soil Moisture", "Evaporation", "Energy balance", "Biochemistry", "Environmental science", "Transpiration", "Meteorology", "Artificial Intelligence", "Soil water", "Thermal Infrared", "Applied optics. Photonics", "Machine Learning Methods for Solar Radiation Forecasting", "Photosynthesis", "TRISHNA", "Water balance", "Biology", "Soil science", "Global and Planetary Change", "Water content", "Evapotranspiration", "Geography", "Ecology", "Global Forest Drought Response and Climate Change", "T", "FOS: Environmental engineering", "Geology", "FOS: Earth and related environmental sciences", "Remote sensing", "15. Life on land", "Engineering (General). Civil engineering (General)", "Remote Sensing of Soil Moisture", "6. Clean water", "TA1501-1820", "[SDE.MCG] Environmental Sciences/Global Changes", "Chemistry", "Geotechnical engineering", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Computer Science", "TA1-2040", "Water cycle"]}, "links": [{"href": "https://doi.org/10.5194/isprs-archives-xlii-3-w6-9-2019"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20International%20Archives%20of%20the%20Photogrammetry%2C%20Remote%20Sensing%20and%20Spatial%20Information%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/isprs-archives-xlii-3-w6-9-2019", "name": "item", "description": "10.5194/isprs-archives-xlii-3-w6-9-2019", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/isprs-archives-xlii-3-w6-9-2019"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-07-26T00:00:00Z"}}, {"id": "10.5194/isprs-archives-xlviii-m-1-2023-309-2023", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:24:35Z", "type": "Journal Article", "created": "2023-04-21", "title": "SELF-SUPERVISED LEARNING FOR CROP CLASSIFICATION USING PLANET FUSION", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Benefiting from the high cadence and spatial resolution of the new generation of Earth observation satellites, remote sensing technology is allowing us to derive more valuable information for the agricultural sector. Crop classification is one of the fundamental information derivatives from Earth observation data researchers used for food security, crop monitoring, and economic assessment. The robustness of a crop classification model to variations in environmental and management conditions due to time and location is one of the crucial requirements. To achieve this, we developed a novel self-supervised method using the advantage of unlabeled samples and transformer architectures. We used six different areas in Germany and four years to evaluate the robustness of the model. Our experiments showed that self-supervised deep learning methods could provide a significant advantage in handling these variations. In some cases, we observed around 30 percentage points improvements in F1-score performance compared to a Random Forest based model.                     </p></article>", "keywords": ["2. Zero hunger", "Technology", "T", "0211 other engineering and technologies", "Applied optics. Photonics", "02 engineering and technology", "15. Life on land", "TA1-2040", "Engineering (General). Civil engineering (General)", "01 natural sciences", "TA1501-1820", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.5194/isprs-archives-xlviii-m-1-2023-309-2023"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20International%20Archives%20of%20the%20Photogrammetry%2C%20Remote%20Sensing%20and%20Spatial%20Information%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/isprs-archives-xlviii-m-1-2023-309-2023", "name": "item", "description": "10.5194/isprs-archives-xlviii-m-1-2023-309-2023", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/isprs-archives-xlviii-m-1-2023-309-2023"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-04-21T00:00:00Z"}}, {"id": "10.5194/isprsarchives-XLI-B8-1023-2016", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:24:35Z", "type": "Journal Article", "created": "2016-06-24", "title": "MONITORING OF IN-FIELD VARIABILITY FOR SITE SPECIFIC CROP MANAGEMENT THROUGH OPEN GEOSPATIAL INFORMATION", "description": "<p>Abstract. The agricultural sector is in a unique position due to its strategic importance around the world. It is crucial for both citizens (consumers) and the economy (both regional and global), which, ideally, should ensure that the whole sector is a network of interacting organisations. It is important to develop new tools, management methods, and applications to improve the management and logistic operations of agricultural producers (farms) and agricultural service providers. From a geospatial perspective, this involves identifying cost optimization pathways, reducing transport, reducing environmental loads, and improving the energy balance, while maintaining production levels, etc.  This paper describes the benefits of, and open issues arising from, the development of the Open Farm Management Information System. Emphasis is placed on descriptions of available remote sensing and other geospatial data, and their harmonization, processing, and presentation to users. At the same time, the FOODIE platform also offers a novel approach of yield potential estimations. Validation for one farm demonstrated 70% successful rate when comparing yield results at a farm counting 1\uffe2\uff80\uff99284 hectares on one hand and results of a theoretical model of yield potential on the other hand. The presented Open Farm Management Information System has already been successfully registered under Phase 8 of the Global Earth Observation System of Systems (GEOSS) Architecture Implementation Pilot in order to support the wide variety of demands that are primarily aimed at agriculture and water pollution monitoring by means of remote sensing.                     </p>", "keywords": ["2. Zero hunger", "Technology", "13. Climate action", "T", "8. Economic growth", "0401 agriculture", " forestry", " and fisheries", "Applied optics. Photonics", "04 agricultural and veterinary sciences", "TA1-2040", "15. Life on land", "Engineering (General). Civil engineering (General)", "TA1501-1820", "12. Responsible consumption"]}, "links": [{"href": "http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B8/1023/2016/isprs-archives-XLI-B8-1023-2016.pdf"}, {"href": "https://doi.org/10.5194/isprsarchives-XLI-B8-1023-2016"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20International%20Archives%20of%20the%20Photogrammetry%2C%20Remote%20Sensing%20and%20Spatial%20Information%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/isprsarchives-XLI-B8-1023-2016", "name": "item", "description": "10.5194/isprsarchives-XLI-B8-1023-2016", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/isprsarchives-XLI-B8-1023-2016"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-06-24T00:00:00Z"}}, {"id": "11586/416233", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:28:48Z", "type": "Journal Article", "created": "2023-01-02", "title": "Prospective Scenarios for Addressing the Agricultural Plastic Waste Issue: Results of a Territorial Analysis", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Agricultural activities have been positively affected by the use of plastic products, but this has resulted in the production of plastic waste and led to an increase in environmental pollution. To continue benefiting from the use of plastics but addressing at the same time the environmental issue, two strategies seem viable: the development of technologies for extending plastics lifespan and the gradual replacement of traditional non-biodegradable materials by biodegradable ones, at least for some products. This study focuses on a territorial analysis, performed using a Geographic Information System (GIS) in an agricultural area of the Apulia region (southern Italy). Areas of agricultural plastic waste production were identified through land-use maps. The application of plastic waste indices to different crop types and plastic products allowed quantifying and georeferencing actual plastic waste production. From this actual visualization, the other strategies were obtained by properly managing the indices. Two improved scenarios were obtained, the first consisted of extending the lifespan of some plastics, and the second entailed the introduction of some biodegradable alternatives. About 11,103 tons of agricultural plastic waste are yearly produced in the area and 7450 tons come from covering films. Lifespan extension would reduce the annual waste amount by about 25%, while more alternative products are needed to achieve significant results in the second scenario.</p></article>", "keywords": ["Technology", "QH301-705.5", "QC1-999", "plastic detection", "01 natural sciences", "12. Responsible consumption", "11. Sustainability", "Biology (General)", "QD1-999", "0105 earth and related environmental sciences", "2. Zero hunger", "products lifespan", "T", "Physics", "sustainability; GIS; land use; plastic detection; waste management; biodegradable plastic; products lifespan", "land use", "04 agricultural and veterinary sciences", "biodegradable plastic", "15. Life on land", "sustainability", "GIS", "Engineering (General). Civil engineering (General)", "Chemistry", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "waste management", "TA1-2040"]}, "links": [{"href": "http://www.mdpi.com/2076-3417/13/1/612/pdf"}, {"href": "https://www.mdpi.com/2076-3417/13/1/612/pdf"}, {"href": "https://doi.org/11586/416233"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Applied%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11586/416233", "name": "item", "description": "11586/416233", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11586/416233"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-02T00:00:00Z"}}, {"id": "10.5281/zenodo.16842801", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:26:16Z", "type": "Journal Article", "created": "2022-06-17", "title": "Natural Time Series Parameters Forecasting: Validation of the Pattern-Sequence-Based Forecasting (PSF) Algorithm; A New Python Package", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Climate change has contributed substantially to the weather and land characteristic phenomena. Accurate time series forecasting for climate and land parameters is highly essential in the modern era for climatologists. This paper provides a brief introduction to the algorithm and its implementation in Python. The pattern-sequence-based forecasting (PSF) algorithm aims to forecast future values of a univariate time series. The algorithm is divided into two major processes: the clustering of data and prediction. The clustering part includes the selection of an optimum value for the number of clusters and labeling the time series data. The prediction part consists of the selection of a window size and the prediction of future values with reference to past patterns. The package aims to ease the use and implementation of PSF for python users. It provides results similar to the PSF package available in R. Finally, the results of the proposed Python package are compared with results of the PSF and ARIMA methods in R. One of the issues with PSF is that the performance of forecasting result degrades if the time series has positive or negative trends. To overcome this problem difference pattern-sequence-based forecasting (DPSF) was proposed. The Python package also implements the DPSF method. In this method, the time series data are first differenced. Then, the PSF algorithm is applied to this differenced time series. Finally, the original and predicted values are restored by applying the reverse method of the differencing process. The proposed methodology is tested on several complex climate and land processes and its potential is evidenced.</p></article>", "keywords": ["Technology", "330", "QH301-705.5", "univariate", "T", "Physics", "QC1-999", "forecasting", "02 engineering and technology", "Engineering (General). Civil engineering (General)", "forecasting; univariate; time series; Python; PSF", "Chemistry", "0203 mechanical engineering", "13. Climate action", "0202 electrical engineering", " electronic engineering", " information engineering", "time series", "TA1-2040", "Biology (General)", "QD1-999", "PSF", "Python"]}, "links": [{"href": "http://www.mdpi.com/2076-3417/12/12/6194/pdf"}, {"href": "https://www.mdpi.com/2076-3417/12/12/6194/pdf"}, {"href": "https://research.usq.edu.au/download/a41f7e6afaf72d3aab08e4fbf5850ce9baed364db9cd274b284e7956b4aa1a6e/1339682/applsci-12-06194-v3.pdf"}, {"href": "https://doi.org/10.5281/zenodo.16842801"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Applied%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.16842801", "name": "item", "description": "10.5281/zenodo.16842801", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.16842801"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-06-17T00:00:00Z"}}, {"id": "10.5281/zenodo.16895135", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:26:17Z", "type": "Journal Article", "created": "2023-08-31", "title": "Comparing the environmental impact of poultry manure and chemical fertilizers", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>One of the challenges in livestock production is the significant volume of manure generated, which must be appropriately managed to mitigate its environmental impacts. Untreated manure poses a potential hazard to soil, surface water, groundwater, and human and animal health. Based on the life cycle assessment (LCA) method, the research aims to evaluate the ecological load of composted-pelletized poultry litter (CPPL) in maize and winter wheat production. Furthermore, the environmental loads of CPPL applications are compared with those of other N, P, and K fertilizers. The research study utilized the openLCA software with the Agribalyse 3.1 database to calculate eleven impact categories. In the case of maize, only ozone depletion has higher emissions. For winter wheat production, scenarios where the P fertilizer was MAP had lower impacts for NPK combinations. While for the CPPL, fuel was the main contributor to loads, for the NPK fertilizer scenarios, energy use for fertilizer production contributed more. The results can be relevant to the burdens of using different nutrient replacement products and creating diverse feed mixtures. The application of CPPL promises to reduce the burden of crop production and, consequently, feed production. Additionally, it allows for the recovery of manure not useable by the livestock industry.</p></article>", "keywords": ["2. Zero hunger", "0211 other engineering and technologies", "environmental impacts", "02 engineering and technology", "15. Life on land", "maize", "Engineering (General). Civil engineering (General)", "7. Clean energy", "winter wheat", "12. Responsible consumption", "life cycle assessment", "HT165.5-169.9", "13. Climate action", "composted-pelletized poultry litter", "0202 electrical engineering", " electronic engineering", " information engineering", "TA1-2040", "City planning", "chemical fertilizers"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.16895135"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Built%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.16895135", "name": "item", "description": "10.5281/zenodo.16895135", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.16895135"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-08-31T00:00:00Z"}}, {"id": "10.5281/zenodo.8090543", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:27:00Z", "type": "Journal Article", "created": "2020-09-03", "title": "Visualizations of Uncertainties in Precision Agriculture: Lessons Learned from Farm Machinery", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Detailed measurements of yield values are becoming a common practice in precision agriculture. Field harvesters generate point Big Data as they provide yield measurements together with dozens of complex attributes in a frequency of up to one second. Such a flood of data brings uncertainties caused by several factors: accuracy of the positioning system used, trajectory overlaps, raising the cutting bar due to obstacles or unevenness, and so on. This paper deals with 2D and 3D cartographic visualizations of terrain, measured yield, and its uncertainties. Four graphic variables were identified as credible for visualizations of uncertainties in point Big Data. Data from two plots at a fully operational farm were used for this purpose. ISO 19157 was examined for its applicability and a proof-of-concept for selected uncertainty expression was defined. Special attention was paid to spatial pattern interpretations.</p></article>", "keywords": ["point Big Data", "Technology", "QH301-705.5", "T", "Physics", "QC1-999", "0211 other engineering and technologies", "interactive 3D visualization", "ISO 19157", "02 engineering and technology", "Engineering (General). Civil engineering (General)", "uncertainty expression", "Chemistry", "yield measurements", "0202 electrical engineering", " electronic engineering", " information engineering", "TA1-2040", "Biology (General)", "QD1-999"]}, "links": [{"href": "http://www.mdpi.com/2076-3417/10/17/6132/pdf"}, {"href": "https://www.mdpi.com/2076-3417/10/17/6132/pdf"}, {"href": "https://doi.org/10.5281/zenodo.8090543"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Applied%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.8090543", "name": "item", "description": "10.5281/zenodo.8090543", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.8090543"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-09-03T00:00:00Z"}}, {"id": "10.5281/zenodo.8092629", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:27:01Z", "type": "Journal Article", "created": "2022-06-15", "title": "Comparison of Methods for Reconstructing MODIS Land Surface Temperature under Cloudy Conditions", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Land surface temperature (LST) is a vital parameter associated with the land\u2013atmosphere interface. The Moderate Resolution Imaging Spectroradiometer (MODIS) LST product can provide precise LST with high time resolution, and is widely applied in various remote sensing temperature research. However, due to its inability to penetrate the cloud and fog, its quality is not able to meet the requirements of actual research. Hence, obtaining continuous and cloudless MODIS LST datasets remains challenging for researchers. The critical point is to reconstruct missing pixels. To compare the performance of different methods, first, three kinds of methods were used to reconstruct the missing pixels, namely, temporal, spatial, and spatiotemporal methods. The predicted values using these methods were validated by the automatic weather system data (AWS) in the Heihe river basin of China. The results demonstrated that, compared with other methods, linear temporal interpolation using Aqua data had the best performance in MODIS LST reconstruction in the Heihe river basin, with an RMSE of 7.13 K and an R2 of 0.82, and the NSE and PBias were 0.78 and \u22120.76%, respectively. Furthermore, the interpolation method was improved using adaptive windows and robust regression. First, the international Geosphere\u2013Biosphere Program (IGBP) classification was employed to distinguish the different land surface types. Then, the invalid LST values were reconstructed using adjacent days\u2019 effective LST values combined with a robust regression. Finally, a mean filter was applied to eliminate outliers. The overall results combined with ERA5 data were validated by AWS, with an RMSE of 6.96 K and an R2 of 0.79 and the NSE and PBias were 0.77 and \u22120.20%, respectively. The validation demonstrated that the scheme proposed in this paper is able to accurately reconstruct the missing values and improve the accuracy of the interpolation method to a certain extent when reconstructing MODIS LST.</p></article>", "keywords": ["Technology", "land surface temperature (LST)", "reconstruction", "land surface temperature (LST); remote sensing; interpolation; reconstruction; MODIS", "QH301-705.5", "T", "Physics", "QC1-999", "Engineering (General). Civil engineering (General)", "01 natural sciences", "interpolation", "6. Clean water", "Chemistry", "remote sensing", "MODIS", "13. Climate action", "TA1-2040", "Biology (General)", "QD1-999", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2076-3417/12/12/6068/pdf"}, {"href": "https://doi.org/10.5281/zenodo.8092629"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Applied%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.8092629", "name": "item", "description": "10.5281/zenodo.8092629", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.8092629"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-06-15T00:00:00Z"}}, {"id": "10.60692/t1jsz-vm842", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:27:43Z", "type": "Journal Article", "created": "2019-07-29", "title": "EVAPOTRANSPIRATION AND EVAPORATION/TRANSPIRATION RETRIEVAL USING DUAL-SOURCE SURFACE ENERGY BALANCE MODELS INTEGRATING VIS/NIR/TIR DATA WITH SATELLITE SURFACE SOIL MOISTURE INFORMATION", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Evapotranspiration is an important component of the water cycle. For the agronomic management and ecosystem health monitoring, it is also important to provide an estimate of evapotranspiration components, i.e. transpiration and soil evaporation. To do so, Thermal InfraRed data can be used with dual-source surface energy balance models, because they solve separate energy budgets for the soil and the vegetation. But those models rely on specific assumptions on raw levels of plant water stress to get both components (evaporation and transpiration) out of a single source of information, namely the surface temperature. Additional information from remote sensing data are thus required. This works evaluates the ability of the SPARSE dual-source energy balance model to compute not only total evapotranspiration, but also water stress and transpiration/evaporation components, using either the sole surface temperature as a remote sensing driver, or a combination of surface temperature and soil moisture level derived from microwave data. Flux data at an experimental plot in semi-arid Morocco is used to assess this potentiality and shows the increased robustness of both the total evapotranspiration and partitioning retrieval performances. This work is realized within the frame of the Phase A activities for the TRISHNA CNES/ISRO Thermal Infra-Red satellite mission.                     </p></article>", "keywords": ["Technology", "Environmental Engineering", "550", "Ecosystem Resilience", "Soil Moisture", "Evaporation", "Energy balance", "Biochemistry", "Environmental science", "Transpiration", "Meteorology", "Artificial Intelligence", "Soil water", "Thermal Infrared", "Applied optics. Photonics", "Machine Learning Methods for Solar Radiation Forecasting", "Photosynthesis", "TRISHNA", "Water balance", "Biology", "Soil science", "Global and Planetary Change", "Water content", "Evapotranspiration", "Geography", "Ecology", "Global Forest Drought Response and Climate Change", "T", "FOS: Environmental engineering", "Geology", "FOS: Earth and related environmental sciences", "Remote sensing", "15. Life on land", "Engineering (General). Civil engineering (General)", "Remote Sensing of Soil Moisture", "6. Clean water", "TA1501-1820", "[SDE.MCG] Environmental Sciences/Global Changes", "Chemistry", "Geotechnical engineering", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Computer Science", "TA1-2040", "Water cycle"]}, "links": [{"href": "https://doi.org/10.60692/t1jsz-vm842"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20International%20Archives%20of%20the%20Photogrammetry%2C%20Remote%20Sensing%20and%20Spatial%20Information%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.60692/t1jsz-vm842", "name": "item", "description": "10.60692/t1jsz-vm842", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.60692/t1jsz-vm842"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-07-26T00:00:00Z"}}, {"id": "10044/1/99543", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:28:04Z", "type": "Journal Article", "created": "2022-05-05", "title": "Opportunities for Low Indirect Land Use Biomass for Biofuels in Europe", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Sustainable biofuels are an important tool for the decarbonisation of transport. This is especially true in aviation, maritime, and heavy-duty sectors with limited short-term alternatives. Their use by conventional transport fleets requires few changes to the existing infrastructure and engines, and thus their integration can be smooth and relatively rapid. Provision of feedstock should comply with sustainability principles for (i) producing additional biomass without distorting food and feed markets and (ii) addressing challenges for ecosystem services, including biodiversity, and soil quality. This paper performs a meta-analysis of current research for low indirect land use change (ILUC) risk biomass crops for sustainable biofuels that benefited either from improved agricultural practices or from cultivation in unused, abandoned, or severely degraded land. Two categories of biomass crops are considered here: oil and lignocellulosic. The findings confirm that there are significant opportunities to cultivate these crops in European agro-ecological zones with sustainable agronomic practices both in farming land and in land with natural constraints (unused, abandoned, and degraded land). These could produce additional low environmental impact feedstocks for biofuels and deliver economic benefits to farmers.</p></article>", "keywords": ["advanced biofuels", "Technology", "Chemistry", " Multidisciplinary", "7. Clean energy", "01 natural sciences", "630", "CROP-ROTATION", "CARBON", "Engineering", "11. Sustainability", "land use change; low ILUC; oil crops; lignocellulosic crops; advanced biofuels; sustainability; marginal land; degraded land", "ALTERNATIVE FUELS", "Biology (General)", "2. Zero hunger", "Multidisciplinary", "marginal land", "T", "Physics", "sustainability", "Engineering (General). Civil engineering (General)", "Chemistry", "Applied", "Physical Sciences", "TA1-2040", "low ILUC", "land use change", "330", "QH301-705.5", "QC1-999", "Materials Science", "Engineering", " Multidisciplinary", "Materials Science", " Multidisciplinary", "Physics", " Applied", "12. Responsible consumption", "CYCLE", "QD1-999", "BIODIESEL PRODUCTION", "0105 earth and related environmental sciences", "Science & Technology", "advanced biofuels; degraded land; land use change; lignocellulosic crops; low ILUC; marginal land; oil crops; sustainability", "15. Life on land", "AGROFORESTRY", "SOIL", "NITROGEN", "lignocellulosic crops", "YIELD", "oil crops", "13. Climate action", "CRAMBE-ABYSSINICA", "degraded land"]}, "links": [{"href": "http://www.mdpi.com/2076-3417/12/9/4623/pdf"}, {"href": "https://iris.polito.it/bitstream/11583/2995521/1/applsci-12-04623-v3.pdf"}, {"href": "https://www.mdpi.com/2076-3417/12/9/4623/pdf"}, {"href": "https://doi.org/10044/1/99543"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Applied%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10044/1/99543", "name": "item", "description": "10044/1/99543", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10044/1/99543"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-04T00:00:00Z"}}, {"id": "10261/220255", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:28:10Z", "type": "Journal Article", "created": "2020-01-09", "title": "SHui, an EU-Chinese cooperative project to optimize soil and water management in agricultural areas in the XXI century", "description": "Open AccessThis work has been supported by Project SHui which is co-funded by the European Union Project GA 773903 and the Chinese MOST. This work has been supported by P12-AGR-0931 (Andalusian Government), RTA2014-00063- C04-03 (Spanish government), SHui (European Commission Grant Agreement number: 773903) and EU\u2012FEDER funds", "keywords": ["Yield", "550", "EROSION", "FLOW", "Cropping", "SIMULATE YIELD RESPONSE", "Soil Science", "Environmental Sciences & Ecology", "RICE YIELDS", "01 natural sciences", "630", "12. Responsible consumption", "4104 Environmental management", "4105 Pollution and contamination", "DRYING IRRIGATION", "11. Sustainability", "FAO CROP MODEL", "0105 earth and related environmental sciences", "2. Zero hunger", "Science & Technology", "1. No poverty", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "Engineering (General). Civil engineering (General)", "6. Clean water", "4106 Soil sciences", "Cooperation", "Sustainability", "13. Climate action", "Physical Sciences", "Water Resources", "0401 agriculture", " forestry", " and fisheries", "TA1-2040", "Life Sciences & Biomedicine", "Environmental Sciences"]}, "links": [{"href": "https://doi.org/10261/220255"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Soil%20and%20Water%20Conservation%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/220255", "name": "item", "description": "10261/220255", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/220255"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-03-01T00:00:00Z"}}, {"id": "10261/253005", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:28:11Z", "type": "Journal Article", "created": "2021-01-25", "title": "In-depth analysis of soil management and farmers\u2019 perceptions of related risks in two olive grove areas in southern Spain", "description": "Trabajo desarrollado bajo la financiaci\u00f3n del proyecto \u201cSoil Hydrology research platform underpinning innovation to manage water scarcity in European and Chinese cropping Systems\u201d (773903), coordinado por Jos\u00e9 Alfonso G\u00f3mez Calero, investigador del Instituto de Agricultura Sostenible (IAS). This manuscript presents a questionnaire-based study aimed to provide a detailed analysis on the different soil management carried out by olive farmers in two representative olive-growing areas in southern Spain (Cordoba and Estepa), their perceptions on cover crop use and the possible influence of the different types of farms and farmers\u2019 typologies on these perceptions. Our results show a relatively large variability of soil management, with fourteen options, as a result of a combination of different alternatives for bare soil and cover crops with the use or not of pruning residues, but with a great similarity between both areas. The results indicate a high adoption of soil conservation measures in the two study areas, with 63% of farmers using cover crops and 80% a mulch of pruning residues, higher than that reported in previous studies in Southern Spain, and a trend of lower use of these techniques by less experienced and younger farmers. This high penetration of soil conservation measures resulted in a significant reduction of soil erosion risk, as indicated by the relatively low values for the cover and management factor (C) of RUSLE, also calculated and presented in this study, but also the possibility of focusing further efforts on farmers with less experience. Our results indicate the persistence of a minor, but relevant, percentage of farmers using bare soil management (37%) and no mulching (20%), with a moderate concern on the impact of soil erosion on soil degradation and provision of ecosystem services. This suggests the need to concentrate efforts also on this cluster of farmers to enhance the success of what seems to be a remarkable expansion of the use of soil conservation measures in recent decades in Southern Spain, but also in similar areas in the Mediterranean basin. This work was supported by P12-AGR-0931 (Andalusian Government), AGL2015-65036-C3-1-R and PID2019-105793RB-I00 (Spanish Government), SHui (European Commission Grant Agreement number: 773903) and EU-FEDER funds, as well as by the cooperative agreement between the DOP Estepa and the University of Cordoba. All this support is gratefully acknowledged. Peer reviewed", "keywords": ["2. Zero hunger", "Olive yield", "Cover crops", "Questionnaire", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "TA1-2040", "15. Life on land", "Engineering (General). Civil engineering (General)", "Irrigation", "6. Clean water", "Tillage", "Erosion risk"]}, "links": [{"href": "https://doi.org/10261/253005"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Soil%20and%20Water%20Conservation%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/253005", "name": "item", "description": "10261/253005", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/253005"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-09-01T00:00:00Z"}}, {"id": "10261/275173", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:28:12Z", "type": "Journal Article", "created": "2022-07-08", "title": "Portable X-ray Fluorescence Analysis of Organic Amendments: A Review", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Portable XRF spectrometry (pXRF) has recently undergone significant technological improvements and is being applied in a wide range of studies. Despite pXRF advantages, this technique has rarely been used to characterize organic amendments and residues. This article reviews those studies undertaken to date in which pXRF is used to characterize these products. Published studies show that pXRF correctly measures elements such as Fe, Pb, Zn, Mn, Ca, and K but gives conflicting results for elements such as Cr, Ni, and As. Among the reasons that may cause the low performance of the technique with certain elements or under certain measurement conditions would be the inadequacy of the analytical comparison procedures used (i.e., digestion with aqua regia), the lack of knowledge of the interfering effects of organic matter, and sample moisture on the XRF signals and the need for a standardized protocol for performing the measurements. However, the speed and low cost of the procedure forecast a greater future use of this technique, especially in cooperation with other fast spectroscopic techniques based on near-infrared (NIRS) or mid-infrared (MIR) spectroscopies. Chemometric procedures based on one or more of these techniques will allow the prediction of elements below the detection limit of pXRF instruments (Cd, Hg), or other properties of organic amendments (organic matter, N, electrical conductivity, cation exchange capacity).</p></article>", "keywords": ["compost", "Technology", "pXRF", "QH301-705.5", "T", "Physics", "QC1-999", "biosolids", "Hand-held XRF", "hand-held XRF", "Compost", "04 agricultural and veterinary sciences", "Engineering (General). Civil engineering (General)", "01 natural sciences", "Manure", "Chemistry", "Biosolids", "manure", "0401 agriculture", " forestry", " and fisheries", "TA1-2040", "Biology (General)", "QD1-999", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Rafael L\u00f3pez-N\u00fa\u00f1ez", "roles": ["creator"]}]}, "links": [{"href": "https://www.mdpi.com/2076-3417/12/14/6944/pdf"}, {"href": "https://doi.org/10261/275173"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Applied%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/275173", "name": "item", "description": "10261/275173", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/275173"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-07-08T00:00:00Z"}}, {"id": "10261/309237", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:28:14Z", "type": "Journal Article", "created": "2022-12-29", "title": "Spatial variability of soil organic carbon stock in an olive orchard at catchment scale in Southern Spain", "description": "Orchards have a high potential for carbon sequestration. However, little research is available on the spatial variability at catchment scale and on the difference between the tree area and the lanes. We analyzed theik spatial variability of soil organic carbon stock, SOCstock at 90\u00a0cm depth in an 8-ha catchment in Southern Spain with olives on a vertic soil. Results showed higher soil organic carbon concentration, SOC, in the tree area as compared to the lane up to 60\u00a0cm depth, but its impact on SOCstock was negligible since it was compensated by the higher soil bulk density in the lane. SOC at different depths was correlated with that in the top 0\u20135\u00a0cm. The overall SOCstock of the orchard was 4.14\u00a0kg\u00a0m\u22122, ranging between 1.8 and 6.0\u00a0kg\u00a0m\u22122. This SOCstock is in the mid-lower range of values reported for olive orchards, measured at smaller scale, and similar to those other intensive field crops and agroforestry under comparable rainfall conditions. The spatial variability in SOCstock was correlated to several geomorphological variables: elevation, cumulative upstream area, topographic wetness index, sediment transport index, and tillage erosion. Differences in SOC and SOCstock are driven by the sediment redistribution downslope, mainly by tillage erosion, and higher soil water availability in lower areas allowing higher biomass production. These topographic indexes and the correlation between SOC in the topsoil and SOCstock up to 90\u00a0cm should be further explored in other typology of olive orchards for facilitating the mapping of SOCstock.", "keywords": ["Carbon sequestration", "2. Zero hunger", "Vertic soils", "Mediterranean crops", "Catchments", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "TA1-2040", "15. Life on land", "Engineering (General). Civil engineering (General)", "Catchment", "Spatial variability"]}, "links": [{"href": "https://doi.org/10261/309237"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Soil%20and%20Water%20Conservation%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/309237", "name": "item", "description": "10261/309237", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/309237"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-06-01T00:00:00Z"}}, {"id": "10261/366351", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:28:18Z", "type": "Journal Article", "created": "2023-12-20", "title": "Appraising trapping efficiency of vegetative barriers in agricultural landscapes: Strategy based on a probabilistic approach based on a review of available information", "description": "Open AccessPeer reviewed", "keywords": ["2. Zero hunger", "Connectivity", "Runoff", "Experimental plots", "Nutrients", "04 agricultural and veterinary sciences", "Sediment transport", "15. Life on land", "Engineering (General). Civil engineering (General)", "01 natural sciences", "Buffer strip", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "TA1-2040", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10261/366351"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Soil%20and%20Water%20Conservation%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/366351", "name": "item", "description": "10261/366351", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/366351"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-09-01T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=TA1-2040&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=TA1-2040&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=TA1-2040&", "hreflang": "en-US"}, {"rel": "next", "type": "application/geo+json", "title": "items (next)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=TA1-2040&offset=50", "hreflang": "en-US"}], "numberMatched": 60, "numberReturned": 50, "distributedFeatures": [], "timeStamp": "2026-06-27T15:14:06.591063Z"}