{"type": "FeatureCollection", "features": [{"id": "10.1016/j.ecoenv.2020.111380", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:15:49Z", "type": "Journal Article", "created": "2020-10-01", "title": "Effect of the growth medium composition on nitrate accumulation in the novel protein crop Lemna minor", "description": "Duckweed is a potential alternative protein source for food and feed. However, little is known about the nitrate accumulation in this plant. A high nitrate level in vegetables can indirectly lead to an elevated intake of nitrites and N-nitroso compounds, increasing the risk of diseases for humans and animals. This research hypothesizes that the nitrate accumulation of Lemna minor differs between growing media. Additionally, it evaluates whether legal safety levels of nitrate for human and animal intake are exceeded. The duckweed was grown on (i) rainwater, and (ii) three synthetic media containing different nutrient levels. Furthermore, (iii) biological effluent of swine manure treatment and (iv) aquaculture effluent from pikeperch production were used, as these are potential media for closing nutrient loops in the agriculture sector. It was found that nitrate levels increased with the increasing availability of macronutrients in the water, and pH showed a particularly strong negative correlation with the nitrate levels in the plant. Nevertheless, nitrate content never exceeded 530\u00a0mg NO3 kg-1 fresh weight. To conclude, Lemna minor's nitrate content was below safety limits for human consumption in all tested growing media; however, a potential risk for ruminants was observed as these are more sensitive to nitrate conversions in their gastro-intestinal track.", "keywords": ["Agriculture and Food Sciences", "0106 biological sciences", "0301 basic medicine", "SAMPLES", "Wastewater", "NUTRIENTS", "01 natural sciences", "Food safety", "BIOMASS", "03 medical and health sciences", "Crude protein", "Vegetables", "Lemnaceae", "Animals", "Araceae", "Humans", "Toxicology and Mutagenesis", "PLANT", "FRUITS", "VEGETABLES", "2. Zero hunger", "Nitrates", "Environmental and Occupational Health", "Agricultural effluents", "NITRITE CONTENT", "Agriculture", "General Medicine", "Hydrogen-Ion Concentration", "Pollution", "DUCKWEEDS LEMNACEAE", "6. Clean water", "Culture Media", "NITROGEN", "Feed safety", "Health", "Public Health", "Dietary Proteins"]}, "links": [{"href": "https://doi.org/10.1016/j.ecoenv.2020.111380"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecotoxicology%20and%20Environmental%20Safety", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.ecoenv.2020.111380", "name": "item", "description": "10.1016/j.ecoenv.2020.111380", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.ecoenv.2020.111380"}, {"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.agrformet.2020.108031", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:15:28Z", "type": "Journal Article", "created": "2020-05-29", "title": "Inter-individual variability in spring phenology of temperate deciduous trees depends on species, tree size and previous year autumn phenology", "description": "We explored the inter-individual variability in bud-burst and its potential drivers, in homogeneous mature stands of temperate deciduous trees. Phenological observations of leaves and wood formation were performed weekly from summer 2017 to summer 2018 for pedunculate oak, European beech and silver birch in Belgium. The variability of bud-burst was correlated to previous' year autumn phenology (i.e. the onset of leaf senescence and the cessation of wood formation) and tree size but with important differences among species. In fact, variability of bud-burst was primarily related to onset of leaf senescence, cessation of wood formation and tree height for oak, beech and birch, respectively. The inter-individual variability of onset of leaf senescence was not related to the tree characteristics considered and was much larger than the inter-individual variability in bud-burst. Multi-species multivariate models could explain up to 66% of the bud-burst variability. These findings represent an important advance in our fundamental understanding and modelling of phenology and tree functioning of deciduous tree species.", "keywords": ["Agriculture and Food Sciences", "0106 biological sciences", "Atmospheric Science", "polno olistanje", "Broadleaved forest", "Silver birch", "Edellauvskog", "coloration", "01 natural sciences", "fenologija", "navadna bukev", "Pedunculate oak", "FAGUS-SYLVATICA", "PHLOEM", "Global and Planetary Change", "LEAF PHENOLOGY", "CLIMATE-CHANGE", "VDP::\u00d8kologi: 488", "Physics", "Forestry", "VDP::Ecology: 488", "04 agricultural and veterinary sciences", "dob", "navadna breza", "Chemistry", "Phenology", "info:eu-repo/classification/udc/630*811", "rumenenje listov", "XYLEM", "MODELS", "Article", "leaf unfolding", "Fenologi", "Coloration", "nastanek lesa", "Biology", "Wood formation", "kambij", "Leaf unfolding", "RADIAL GROWTH", "15. Life on land", "listavci", "European beech", "[SDE.BE] Environmental Sciences/Biodiversity and Ecology", "SENESCENCE", "13. Climate action", "wood formation", "0401 agriculture", " forestry", " and fisheries", "[SDE.BE]Environmental Sciences/Biodiversity and Ecology", "Agronomy and Crop Science"]}, "links": [{"href": "https://doi.org/10.1016/j.agrformet.2020.108031"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20and%20Forest%20Meteorology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agrformet.2020.108031", "name": "item", "description": "10.1016/j.agrformet.2020.108031", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agrformet.2020.108031"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-08-01T00:00:00Z"}}, {"id": "10.1016/j.rse.2023.113621", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:16:35Z", "type": "Journal Article", "created": "2023-05-13", "title": "Optimisation of AquaCrop backscatter simulations using Sentinel-1 observations", "description": "In preparation for active microwave-based data assimilation into a crop modeling system, the mapping of daily 1-km AquaCrop model (v6.1) biomass and surface soil moisture to backscatter was optimised, using two forward operators, i.e. the Water Cloud Model (WCM) and the Support Vector Regression (SVR). Both forward operators were calibrated (2014\u20132018) with 1-km Sentinel-1 backscatter ( ) observations in VV and VH polarisation, for three different study domains in Europe. For the validation period (2019\u20132021), the simulations showed reasonable performances around Czech Republic and the Iberian Peninsula, to good performances over Belgium, but with strong variations within each domain. The domain-averaged root mean square difference between the model and Sentinel-1 remained below 2 dB for both forward operators and all three study domains, and the mean bias for VV remained close to 0 dB, and close 0.5 dB for the VH polarisation. The WCM and SVR performed better in VV than VH and overall the SVR performed slightly better in mapping the AquaCrop soil moisture and vegetation to backscatter than the WCM. Additionally, the assumed linear relationship in the WCM between soil moisture and soil holds better for VV than for VH. The remaining differences between WCM or SVR simulations and Sentinel-1 observations are mainly caused by AquaCrop model errors.", "keywords": ["Agriculture and Food Sciences", "Crop biomass", "YIELD RESPONSE", "ASSIMILATION", "Backscatter modeling", "LEAF-AREA INDEX", "RADAR BACKSCATTER", "BIOMASS", "SAR BACKSCATTER", "AquaCrop optimisation", "13. Climate action", "SURFACE SOIL-MOISTURE", "Earth and Environmental Sciences", "SUPPORT", "Sentinel-1", "WATER", "Soil moisture", "FAO CROP MODEL"]}, "links": [{"href": "https://doi.org/10.1016/j.rse.2023.113621"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing%20of%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.rse.2023.113621", "name": "item", "description": "10.1016/j.rse.2023.113621", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.rse.2023.113621"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-08-01T00:00:00Z"}}, {"id": "10.1016/j.still.2007.05.002", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-24T16:17:00Z", "type": "Journal Article", "created": "2007-06-16", "title": "Effects Of Different Management Practices On The Soil\u2013Water Balance And Crop Yield For Improved Dryland Farming In The Chinese Loess Plateau", "description": "Abstract   Field experiments were carried out to study the effects of different soil management practices on the water balance, precipitation use efficiency (PUE), and crop yield (i.e. winter wheat and peanut) on a loess soil near Luoyang (east edge of the Chinese Loess Plateau, Henan Province, China). Field plots were set up in 1999 including following soil management practices: subsoiling with mulch (SS), no-till with mulch (NT), reduced tillage (RT), two crops per year (i.e. winter wheat and peanut, TC), and a conventional tillage control (CT). The field plots were equipped to monitor all components of the soil\u2013water balance except evapotranspiration, which was computed by solving the water balance equation. The results showed that although soil management had smaller influence on the magnitude of the water balance components than did precipitation variations, small influences of the applied soil management practices on water conservation during the fallow period can greatly affect winter wheat yield. SS increased consistently precipitation storage efficiency (PSE) and PUE over the 5 years compared to CT except during the wettest year. NT also had a noticeable effect on postharvest water storage during the fallow period; however, the influence on yield of NT depended on the amount of precipitation. TC lowered the winter wheat yield mainly due to the unfavorable soil moisture conditions after growing peanut in summer; however, the harvested peanut gained an extra profit for the local farmer. No matter which kind of soil management practices was adapted, PSE never exceeded 41.6%, which was primarily attributed to high evapotranspiration. From data of five consecutive agricultural years between 2000 and 2005, it could be concluded that SS resulted in the highest PSE, PUE and crop yield. TC also showed promising results considering the economic value of the second crop. NT performed slightly less as SS. CT gave intermediate results, whereas RT was the worst alternative.", "keywords": ["Agriculture and Food Sciences", "2. Zero hunger", "0106 biological sciences", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "6. Clean water"]}, "links": [{"href": "https://doi.org/10.1016/j.still.2007.05.002"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20and%20Tillage%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.still.2007.05.002", "name": "item", "description": "10.1016/j.still.2007.05.002", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.still.2007.05.002"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-10-01T00:00:00Z"}}, {"id": "10.1016/j.watres.2025.123242", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:17:10Z", "type": "Journal Article", "created": "2025-02-03", "title": "How do varying nitrogen fertilization rates affect crop yields and riverine N2O emissions? A hybrid modeling study", "description": "Headwater streams in agricultural areas constitute significant sources of nitrous oxide (N2O) due to nutrient enrichment; however, their emissions are often overlooked in current environmental impact assessments. This scarcity highlights the importance of developing advanced decision tools to evaluate these contributions and create effective mitigation strategies. Our study establishes the first integrated modeling framework that combines a process-based model SWAT+ with a linear mixed model (LMM) to predict N2O emissions from a headwater agricultural river system in Belgium under diverse climate change and fertilization scenarios. In particular, the calibrated and validated SWAT+ model was used to simulate streamflow, nutrient transport, and crop yields under these scenarios, from which, together with biochemical data collected from sampling campaigns, riverine N2O emissions were predicted via LMM. Our results revealed hydrologically driven patterns in riverine N2O emissions, with peak emissions in winter and spring, driven by precipitations enhancing shallow subsurface flows, carrying leached nutrients from fields to the river, and fueling N2O emissions. These phenomena were intensified under climate change scenarios, especially during combined wetter and hotter winters and springs, which elevated headwater N2O emissions by 40 %. Moreover, when coupling these conditions with a 20 % increase in fertilizer rates, riverine N2O emissions would be boosted by 83 %. These findings underscore the importance of integrating land-surface and river processes, to effectively quantify the feedback loop between river nutrient enrichment and climate change under the influence of agricultural practices, and to support comprehensive mitigation strategies under the warming climate.", "keywords": ["Agriculture and Food Sciences", "Hybrid modeling", "Riverine nitrous oxide dynamics", "PROTOCOL", "CLIMATE-CHANGE", "IMPACT", "Agricultural GHG impact", "Climate change", "STREAMS", "PERFORMANCE", "Headwater streams", "OXIDE EMISSIONS"]}, "links": [{"href": "https://doi.org/10.1016/j.watres.2025.123242"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.watres.2025.123242", "name": "item", "description": "10.1016/j.watres.2025.123242", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.watres.2025.123242"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-05-01T00:00:00Z"}}, {"id": "10.1108/00070700910992925", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:18:20Z", "type": "Journal Article", "created": "2009-10-05", "title": "A meta-analysis of the differences in environmental impacts between organic and conventional farming", "description": "Purpose<p>This paper aims to perform a meta\uffe2\uff80\uff90analysis of the literature comparing the environmental impacts of organic and conventional farming and linking these to differences in management practises. The studied environmental impacts are related to land use efficiency, organic matter content in the soil, nitrate and phosphate leaching to the water system, greenhouse gas emissions and biodiversity.</p>Design/methodology/approach<p>The theoretic framework uses the driver\uffe2\uff80\uff90state\uffe2\uff80\uff90response framework and literature data were analysed using meta\uffe2\uff80\uff90analysis methodology. Meta\uffe2\uff80\uff90analysis is the statistical analysis of multiple study results. Data were obtained by screening peer reviewed literature.</p>Findings<p>From the paper's meta\uffe2\uff80\uff90analysis it can conclude that soils in organic farming systems have on average a higher content of organic matter. It can also conclude that organic farming contributes positively to agro\uffe2\uff80\uff90biodiversity (breeds used by the farmers) and natural biodiversity (wild life). Concerning the impact of the organic farming system on nitrate and phosphorous leaching and greenhouse gas emissions the result of the analysis is not that straightforward. When expressed per production area organic farming scores better than conventional farming for these items. However, given the lower land use efficiency of organic farming in developed countries, this positive effect expressed per unit product is less pronounced or not present at all.</p>Original value<p>Given the recent growth of organic farming and the general perception that organic farming is more environment friendly than its conventional counterpart, it is interesting to explore whether it meets the alleged benefits. By combining several studies in one analysis, the technique of meta\uffe2\uff80\uff90analysis is powerful and may allow the generation of more nuanced findings and the generalisation of those findings.</p>", "keywords": ["Agriculture and Food Sciences", "2. Zero hunger", "GREENHOUSE-GAS EMISSIONS", "Environmental management", "NEW-ZEALAND", "CROPPING SYSTEMS", "NITROUS-OXIDE", "SOUTHERN GERMANY", "Agriculture", "SOIL QUALITY INDICATORS", "04 agricultural and veterinary sciences", "MODELING APPROACH", "15. Life on land", "7. Clean energy", "Organic foods", "12. Responsible consumption", "Europe", "13. Climate action", "LEACHING LOSSES", "PHOSPHORUS P", "11. Sustainability", "0401 agriculture", " forestry", " and fisheries", "LONG-TERM CHANGES"], "contacts": [{"organization": "Mondelaers, Koen, Aertsens, Joris, Van Huylenbroeck, Guido,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1108/00070700910992925"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/British%20Food%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1108/00070700910992925", "name": "item", "description": "10.1108/00070700910992925", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1108/00070700910992925"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-09-26T00:00:00Z"}}, {"id": "10.1111/nyas.14357", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:18:56Z", "type": "Journal Article", "created": "2020-05-08", "title": "Atmospheric heat and moisture transport to energy\u2010 and water\u2010limited ecosystems", "description": "Abstract<p>The land biosphere is a crucial component of the Earth system that interacts with the atmosphere in a complex manner through manifold feedback processes. These relationships are bidirectional, as climate affects our terrestrial ecosystems, which, in turn, influence climate. Great progress has been made in understanding the local interactions between the terrestrial biosphere and climate, but influences from remote regions through energy and water influxes to downwind ecosystems remain less explored. Using a Lagrangian trajectory model driven by atmospheric reanalysis data, we show how heat and moisture advection affect gross carbon production at interannual scales and in different ecoregions across the globe. For water\uffe2\uff80\uff90limited regions, results show a detrimental effect on ecosystem productivity during periods of enhanced heat and reduced moisture advection. These periods are typically associated with winds that disproportionately come from continental source regions, as well as positive sensible heat flux and negative latent heat flux anomalies in those upwind locations. Our results underline the vulnerability of ecosystems to the occurrence of upwind climatic extremes and highlight the importance of the latter for the spatiotemporal propagation of ecosystem disturbances.</p>", "keywords": ["Agriculture and Food Sciences", "LAND", "DISPERSION MODEL FLEXPART", "atmospheric advection", "Climate Change", "drought", "01 natural sciences", "CARBON", "ENTRAINMENT", "SURFACE EVAPORATION", "Ecosystem", "0105 earth and related environmental sciences", "CLIMATE-CHANGE", "Atmosphere", "Water", "Original Articles", "Models", " Theoretical", "15. Life on land", "PART I", "13. Climate action", "PRECIPITATION", "EUROPE-WIDE REDUCTION", "land-atmosphere interactions", "Seasons", "ecosystems", "terrestrial carbon cycle", "PRIMARY PRODUCTIVITY"]}, "links": [{"href": "https://doi.org/10.1111/nyas.14357"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Annals%20of%20the%20New%20York%20Academy%20of%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/nyas.14357", "name": "item", "description": "10.1111/nyas.14357", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/nyas.14357"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-05-07T00:00:00Z"}}, {"id": "10.3390/s22020645", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:20:51Z", "type": "Journal Article", "created": "2022-01-17", "title": "Clustering and Smoothing Pipeline for Management Zone Delineation Using Proximal and Remote Sensing", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>In precision agriculture (PA) practices, the accurate delineation of management zones (MZs), with each zone having similar characteristics, is essential for map-based variable rate application of farming inputs. However, there is no consensus on an optimal clustering algorithm and the input data format. In this paper, we evaluated the performances of five clustering algorithms including k-means, fuzzy C-means (FCM), hierarchical, mean shift, and density-based spatial clustering of applications with noise (DBSCAN) in different scenarios and assessed the impacts of input data format and feature selection on MZ delineation quality. We used key soil fertility attributes (moisture content (MC), organic carbon (OC), calcium (Ca), cation exchange capacity (CEC), exchangeable potassium (K), magnesium (Mg), sodium (Na), exchangeable phosphorous (P), and pH) collected with an online visible and near-infrared (vis-NIR) spectrometer along with Sentinel2 and yield data of five commercial fields in Belgium. We demonstrated that k-means is the optimal clustering method for MZ delineation, and the input data should be normalized (range normalization). Feature selection was also shown to be positively effective. Furthermore, we proposed an algorithm based on DBSCAN for smoothing the MZs maps to allow smooth actuating during variable rate application by agricultural machinery. Finally, the whole process of MZ delineation was integrated in a clustering and smoothing pipeline (CaSP), which automatically performs the following steps sequentially: (1) range normalization, (2) feature selection based on cross-correlation analysis, (3) k-means clustering, and (4) smoothing. It is recommended to adopt the developed platform for automatic MZ delineation for variable rate applications of farming inputs.</p></article>", "keywords": ["Agriculture and Food Sciences", "2. Zero hunger", "Spatial Analysis", "precision agriculture", "ACCURACY", "Chemical technology", "management zone delineation", "TP1-1185", "04 agricultural and veterinary sciences", "15. Life on land", "Article", "VARIABILITY", "Soil", "YIELD", "FUSION", "feature selection", "ATTRIBUTES", "clustering; feature selection; management zone delineation; precision agriculture", "Remote Sensing Technology", "Cluster Analysis", "0401 agriculture", " forestry", " and fisheries", "FIELD", "SOIL-PHOSPHORUS", "Algorithms", "clustering"]}, "links": [{"href": "http://www.mdpi.com/1424-8220/22/2/645/pdf"}, {"href": "https://www.mdpi.com/1424-8220/22/2/645/pdf"}, {"href": "https://doi.org/10.3390/s22020645"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sensors", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/s22020645", "name": "item", "description": "10.3390/s22020645", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/s22020645"}, {"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/resources12120139", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:20:48Z", "type": "Journal Article", "created": "2023-11-22", "title": "First Steps in Developing a Fast, Cheap, and Reliable Method to Distinguish Wild Mushroom and Truffle Species", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Wild mushrooms and truffles (MT) are important resources, which can contribute to the socioeconomic sustainability of forestry ecosystems. However, not all wild MT are edible. Fast, cheap, and reliable methods that distinguish wild MT species (including the deadly ones) can contribute to valuing these important forest resources. Here, we tested if wild MT species, and their edibility, could be distinguished based on their aroma profiles (i.e., smellprints). For that, we combined the use of the electronic nose with classification models (linear discriminant analysis (LDA) and partial least squares discriminant analysis (PLS-DA)) to distinguish between 14 wild MT species (including edible and non-edible species) collected in Portugal. The 14 wild MT species could be accurately distinguished using LDA (93% accuracy), while the edible and non-edible species could be accurately distinguished using both LDA and PLS-DA (97% and 99% accuracy, respectively). Keeping in mind that our methodological design\u2019s feasibility was verified using a small sample, the data show the potential of the combined use of the electronic nose with discriminant analysis to distinguish wild MT species and their edibility based on their aromatic profile. Although a larger dataset will be necessary to develop a quick and reliable identification method, it shows potential to be as accurate as the identification performed by mycologists and molecular biology, yet requiring less technical training, and the analyses are cheaper and faster.</p></article>", "keywords": ["Agriculture and Food Sciences", "electronic nose", "electronic nose; forest resources; identification method; volatile profile; wild mushrooms and truffles", "identification method", "IDENTIFICATION", "Science", "Q", "FUNGI", "volatile profile", "04 agricultural and veterinary sciences", "NUTRITIONAL-VALUE", "15. Life on land", "CHEMICAL-COMPOSITION", "FOREST", "0404 agricultural biotechnology", "FOOD", "MANAGEMENT", "wild mushrooms and truffles", "0405 other agricultural sciences", "POISONOUS MUSHROOMS", "forest resources", "Nature and Landscape Conservation"]}, "links": [{"href": "https://doi.org/10.3390/resources12120139"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Resources", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/resources12120139", "name": "item", "description": "10.3390/resources12120139", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/resources12120139"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-11-22T00:00:00Z"}}, {"id": "10.3390/app12010341", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:20:38Z", "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/f11111186", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:20:40Z", "type": "Journal Article", "created": "2020-11-10", "title": "Counter-Intuitive Response to Water Limitation in a Southern European Provenance of Frangula alnus Mill. in a Common Garden Experiment", "description": "<p>Climate change will intensify drought periods during the growing season in Western Europe. We mimicked this prediction by withholding water in summer from young rooted cuttings of Frangula alnus Mill., a common shrub species, originating from different latitudes in Europe (Italy, Belgium and Sweden) and growing in a common garden environment in Belgium. We followed the responses to the drought up to two years after the treatment. Counter-intuitively, the Italian provenance displayed earlier symptoms and stronger effects of water limitation than the other two provenances. A putative higher transpiration in this provenance could be suggested based on a relative larger shoot growth, larger leaves and a higher stomatal density. After the post-drought re-watering, the droughted plants of the Italian provenance entered leaf senescence later than the control plants, likely as a compensation mechanism for the lost growing time. Bud burst in the first year after the drought treatment and leaf senescence in the next autumn were both advanced in the drought treated group when compared with the control plants. Bud burst in the second year after the drought treatment did not display any differentiation anymore between control and drought treated plants. Growth traits also displayed legacies of the water limitation. For example, the drought treated plants showed a lower number of reshoots upon pruning in the year after the drought treatment. Our results suggest that assisted migration from southern Europe to western Europe as a climate change adaptation strategy might not always follow the expected patterns.</p>", "keywords": ["Agriculture and Food Sciences", "0301 basic medicine", "plant architecture", "leaf senescence", "drought", "SESSILE OAK", "CARBOHYDRATE RESERVES", "ROBUR", "DROUGHT TOLERANCE", "03 medical and health sciences", "Biology", "TREE", "2. Zero hunger", "0303 health sciences", "CLIMATE-CHANGE", "general linear mixed models", "Forestry", "15. Life on land", "6. Clean water", "DIFFERENTIATION", "glossy buckthorn", "13. Climate action", "QUERCUS-PETRAEA", "post-drought recovery", "GROWTH", "POPULATIONS", "common garden", "bud burst"]}, "links": [{"href": "http://www.mdpi.com/1999-4907/11/11/1186/pdf"}, {"href": "https://doi.org/10.3390/f11111186"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Forests", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/f11111186", "name": "item", "description": "10.3390/f11111186", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/f11111186"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-11-10T00:00:00Z"}}, {"id": "10.3390/rs12040638", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:20:48Z", "type": "Journal Article", "created": "2020-02-20", "title": "Historical Aerial Surveys Map Long-Term Changes of Forest Cover and Structure in the Central Congo Basin", "description": "<p>Given the impact of tropical forest disturbances on atmospheric carbon emissions, biodiversity, and ecosystem productivity, accurate long-term reporting of Land-Use and Land-Cover (LULC) change in the pre-satellite era (&lt;1972) is an imperative. Here, we used a combination of historical (1958) aerial photography and contemporary remote sensing data to map long-term changes in the extent and structure of the tropical forest surrounding Yangambi (DR Congo) in the central Congo Basin. Our study leveraged structure-from-motion and a convolutional neural network-based LULC classifier, using synthetic landscape-based image augmentation to map historical forest cover across a large orthomosaic (~93,431 ha) geo-referenced to ~4.7 \uffc2\uffb1 4.3 m at submeter resolution. A comparison with contemporary LULC data showed a shift from previously highly regular industrial deforestation of large areas to discrete smallholder farming clearing, increasing landscape fragmentation and providing opportunties for substantial forest regrowth. We estimated aboveground carbon gains through reforestation to range from 811 to 1592 Gg C, partially offsetting historical deforestation (2416 Gg C), in our study area. Efforts to quantify long-term canopy texture changes and their link to aboveground carbon had limited to no success. Our analysis provides methods and insights into key spatial and temporal patterns of deforestation and reforestation at a multi-decadal scale, providing a historical context for past and ongoing forest research in the area.</p>", "keywords": ["Agriculture and Food Sciences", "0301 basic medicine", "aerial survey", "550", "Science", "CONSERVATION", "ANTHROPOGENIC DISTURBANCE", "03 medical and health sciences", "TROPICAL DEFORESTATION", "RATES", "congo basin", "[SDE.ES]Environmental Sciences/Environment and Society", "cnn", "580", "CARBON EMISSIONS", "aerial survey; data recovery; CNN; deep learning; SfM; Congo Basin", "0303 health sciences", "PHOTOGRAPHS", "Q", "deep learning", "15. Life on land", "Congo Basin", "LAND-COVER", "sfm", "13. Climate action", "Earth and Environmental Sciences", "SfM", "cavelab", "General Earth and Planetary Sciences", "CO2", "VEGETATION", "SELF-SIMILARITY", "CNN", "data recovery"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/12/4/638/pdf"}, {"href": "https://www.mdpi.com/2072-4292/12/4/638/pdf"}, {"href": "https://doi.org/10.3390/rs12040638"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs12040638", "name": "item", "description": "10.3390/rs12040638", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs12040638"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-02-14T00:00:00Z"}}, {"id": "10.5194/bg-17-1033-2020", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:23Z", "type": "Journal Article", "created": "2020-02-26", "title": "\"Estimating causal networks in biosphere\u2013atmosphere interaction with the PCMCI approach\"", "description": "<p>Abstract. The dynamics of biochemical processes in terrestrial ecosystems are tightly coupled to local meteorological conditions. Understanding these interactions is an essential prerequisite for predicting, e.g. the response of the terrestrial carbon cycle to climate change. However, many empirical studies in this field rely on correlative approaches and only very few studies apply causal discovery methods. Here we explore the potential for a recently proposed causal graph discovery algorithm to reconstruct the causal dependency structure underlying biosphere\uffe2\uff80\uff93atmosphere interactions. Using artificial time series with known dependencies that mimic real-world biosphere\uffe2\uff80\uff93atmosphere interactions we address the influence of non-stationarities, i.e. periodicity and heteroscedasticity, on the estimation of causal networks. We then investigate the interpretability of the method in two case studies. Firstly, we analyse three replicated eddy covariance datasets from a Mediterranean ecosystem. Secondly, we explore global Normalised Difference Vegetation Index time series (GIMMS\uffc2\uffa03g), along with gridded climate data to study large-scale climatic drivers of vegetation greenness. We compare the retrieved causal graphs to simple cross-correlation-based approaches to test whether causal graphs are considerably more informative. Overall, the results confirm the capacity of the causal discovery method to extract time-lagged linear dependencies under realistic settings. For example, we find a complete decoupling of the net ecosystem exchange from meteorological variability during summer in the Mediterranean ecosystem. However, cautious interpretations are needed, as the violation of the method's assumptions due to non-stationarities increases the likelihood to detect false links. Overall, estimating directed biosphere\uffe2\uff80\uff93atmosphere networks helps unravel complex multidirectional process interactions. Other than classical correlative approaches, our findings are constrained to a few meaningful sets of relations, which can be powerful insights for the evaluation of terrestrial ecosystem models.                     </p>", "keywords": ["Agriculture and Food Sciences", "PINE FOREST", "Evolution", "0207 environmental engineering", "02 engineering and technology", "01 natural sciences", "CO2 EXCHANGE", "Behavior and Systematics", "Life", "QH501-531", "BEECH FOREST", "QH540-549.5", "Earth-Surface Processes", "0105 earth and related environmental sciences", "QE1-996.5", "NET ECOSYSTEM EXCHANGE", "Ecology", "CARBON-DIOXIDE EXCHANGE", "SPRUCE FOREST", "Geology", "WATER-VAPOR FLUXES", "15. Life on land", "13. Climate action", "GRANGER-CAUSALITY", "INTERANNUAL VARIABILITY", "GAS-EXCHANGE"]}, "links": [{"href": "https://bg.copernicus.org/articles/17/1033/2020/bg-17-1033-2020.pdf"}, {"href": "https://doi.org/10.5194/bg-17-1033-2020"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/bg-17-1033-2020", "name": "item", "description": "10.5194/bg-17-1033-2020", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-17-1033-2020"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-02-26T00:00:00Z"}}, {"id": "10.3390/agriculture11090870", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:20:35Z", "type": "Journal Article", "created": "2021-09-10", "title": "Assessing Nitrogen Availability in Biobased Fertilizers: Effect of Vegetation on Mineralization Patterns", "description": "<p>Biobased nitrogen (N) fertilizers derived from animal manure can substitute synthetic mineral N fertilizer and contribute to more sustainable agriculture. Practitioners need to obtain a reliable estimation of the biobased fertilizers\uffe2\uff80\uff99 N value. This study compared the estimates for pig slurry (PS) and liquid fraction of digestate (LFD) using laboratory incubation and plant-growing experiments. A no-N treatment was used as control and calcium ammonium nitrate (CAN) as synthetic mineral fertilizer. After 100 days of incubation, the addition of PS and LFD resulted in a net N mineralization rate of 10.6 \uffc2\uffb1 0.3% and 20.6 \uffc2\uffb1 0.4% of the total applied N, respectively. The addition of CAN showed no significant net mineralization or immobilization (net N release 96 \uffc2\uffb1 6%). In the pot experiment under vegetation, all fertilized treatments caused N immobilization with a negative net N mineralization rate of \uffe2\uff88\uff9251 \uffc2\uffb1 11%, \uffe2\uff88\uff929 \uffc2\uffb1 4%, and \uffe2\uff88\uff9227 \uffc2\uffb1 10% of the total applied N in CAN, PS, and LFD treatments, respectively. Compared to the pot experiment, the laboratory incubation without vegetation may have overestimated the N value of biobased fertilizers. Vegetation resulted in a lower estimation of available N from fertilizers, probably due to intensified competition with soil microbes or increased N loss via denitrification.</p>", "keywords": ["Agriculture and Food Sciences", "2. Zero hunger", "MICROBIAL TURNOVER", "REPLACEMENT VALUE", "Agriculture (General)", "ORGANIC-NITROGEN", "SOIL PROPERTIES", "04 agricultural and veterinary sciences", "incubation", "maize", "6. Clean water", "S1-972", "ROOT", "CROP YIELD", "digestate", "immobilization", "N MINERALIZATION", "0401 agriculture", " forestry", " and fisheries", "NUTRIENT AVAILABILITY", "PIG SLURRY", "MAIZE", "N dynamics"]}, "links": [{"href": "http://www.mdpi.com/2077-0472/11/9/870/pdf"}, {"href": "https://www.mdpi.com/2077-0472/11/9/870/pdf"}, {"href": "https://doi.org/10.3390/agriculture11090870"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agriculture", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/agriculture11090870", "name": "item", "description": "10.3390/agriculture11090870", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/agriculture11090870"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-09-10T00:00:00Z"}}, {"id": "10.3390/agronomy11071374", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:20:36Z", "type": "Journal Article", "created": "2021-07-07", "title": "The Potential of Digestate and the Liquid Fraction of Digestate as Chemical Fertiliser Substitutes under the RENURE Criteria", "description": "<p>This study assessed how digestate and the liquid fraction (LF) of digestate would perform as candidate RENURE fertilisers (recovered nitrogen from manure) in nitrate vulnerable zones under the proposed criteria of the Joint Research Centre, namely, (i) a mineral nitrogen to total nitrogen ratio \uffe2\uff89\uffa5 90% (Nmin:TN \uffe2\uff89\uffa5 90%) or a total organic carbon to TN ratio \uffe2\uff89\uffa4 3 (TOC:TN \uffe2\uff89\uffa4 3); (ii) limits of \uffe2\uff89\uffa4300 copper (Cu) mg kg\uffe2\uff88\uff921 and \uffe2\uff89\uffa4800 Zinc (Zn) mg kg\uffe2\uff88\uff921. These criteria were applied to unpublished data (n = 2622) on digestate compositional properties, further amended with data from the literature (n = 180); digestate analysis from seven full-scale biogas facilities (n = 14); and biogas industry stakeholders (n = 23). The results showed that Cu and Zn mostly met the criteria, with compliance rates of 94.7% (of 1035 entries) and 95.0% (of 1038 entries), respectively. Just above 5% (of 1856 entries) met the Nmin/TN \uffe2\uff89\uffa5 90% criterion, while 36% (of 1583 entries) met the TOC/TN \uffe2\uff89\uffa4 3 criterion, while total compliance was 32% (of 1893 entries). When targeting the LF, total compliance increased noticeably, between 43 and 58% depending on DM range, indicating that LFs are better suited RENURE candidate fertilisers than unseparated digestate.</p>", "keywords": ["Agriculture and Food Sciences", "AMENDMENT PROPERTIES", "RENURE", "liquid fraction", "SEWAGE-SLUDGE", "NITROUS-OXIDE EMISSIONS", "ANAEROBIC CO-DIGESTION", "SAFEMANURE", "7. Clean energy", "NUTRIENT RECOVERY PROCESSES", "NUE", "USE EFFICIENCY", "BIOGAS PRODUCTION", "ORGANIC FRACTION", "S", "circular economy", "Agriculture", "04 agricultural and veterinary sciences", "6. Clean water", "Nitrates Directive", "NFRV", "MINERAL FERTILIZERS", "Earth and Environmental Sciences", "digestate", "manure", "CATTLE SLURRY", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "http://www.mdpi.com/2073-4395/11/7/1374/pdf"}, {"href": "https://doi.org/10.3390/agronomy11071374"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/agronomy11071374", "name": "item", "description": "10.3390/agronomy11071374", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/agronomy11071374"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-07-07T00:00:00Z"}}, {"id": "10.3390/agronomy12010182", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:20:37Z", "type": "Journal Article", "created": "2022-01-12", "title": "Evaluating the Fertilising Potential of Blended Recovered Nutrients in Horticultural Growing Medium on Viola x wittrockiana L.", "description": "<p>Viola x wittrockiana L. is an ornamental plant in high demand in horticulture. It is becoming more critical for greenhouse growers to focus on sustainable production to enhance plant quality while reducing negative environmental impacts. Therefore, assessing the effect of recycled phosphorous (P) and nitrogen (N) sources on the growth of viola could become very useful for producers in terms of sustainability. This experiment analysed the optimal fertiliser composition to grow viola using recovered fertilisers in a greenhouse trial under controlled conditions. Well-rooted viola plugs were grown in a standard peat-based growing medium. Using recycled sources of P and N as struvite and potassium struvite, ammonium sulphate, and ammonium nitrate, 14 fertiliser blends were prepared, tested, and compared with the slow-release commercial fertiliser Osmocote. Plants treated with ammonium nitrate showed healthy growth and optimal plant N concentrations. In contrast, most blends using the recovered ammonium sulphate resulted in an unacceptable increase of ammonium concentrations in the growing medium. The combination of ammonium sulphate and potassium sulphate caused an increase in the electrical conductivity in the growing medium, negatively affecting plant growth. However, blend 13 containing struvite, ammonium sulphate and potassium struvite expressed the best chemical composition with non-significant differences in the biomass from the positive controls, as it reduced the amount of potassium sulphate needed. Our results indicate that fertiliser blends containing P as struvite, N as ammonium nitrate or reduced amount of ammonium sulphate, and K as potassium struvite can substitute the use of mineral fertiliser blends to grow ornamental plant species as viola.</p>", "keywords": ["Agriculture and Food Sciences", "nutrient recycling", "0301 basic medicine", "alternative fertilisers", "WASTE", "plant nutrition", "struvite", "PANSY", "12. Responsible consumption", "03 medical and health sciences", "PLANTS", "recovered nutrients; ornamental plants; greenhouse flowers; sustainable plant production; alternative fertilisers; plant nutrition; struvite; nutrient recycling", "ornamental plants", "recovered nutrients", "greenhouse flowers", "2. Zero hunger", "S", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "DIGESTATE", "sustainable plant production", "MINERAL FERTILIZERS", "GROWTH", "0401 agriculture", " forestry", " and fisheries", "info:eu-repo/classification/ddc/640", "Agronomy and Crop Science", "FORM"]}, "links": [{"href": "http://www.mdpi.com/2073-4395/12/1/182/pdf"}, {"href": "https://www.mdpi.com/2073-4395/12/1/182/pdf"}, {"href": "https://doi.org/10.3390/agronomy12010182"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/agronomy12010182", "name": "item", "description": "10.3390/agronomy12010182", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/agronomy12010182"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-12T00:00:00Z"}}, {"id": "10.3390/plants10061124", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:20:46Z", "type": "Journal Article", "created": "2021-06-02", "title": "Lemna minor Cultivation for Treating Swine Manure and Providing Micronutrients for Animal Feed", "description": "<p>The potential of Lemna minor to valorise agricultural wastewater into a protein-rich feed component to meet the growing demand for animal feed protein and reduce the excess of nutrients in certain European regions was investigated. Three pilot-scale systems were monitored for nine weeks under outdoor conditions in Flanders. The systems were fed with a mixture of the liquid fraction and the biological effluent of a swine manure treatment system diluted with rainwater in order that the weekly N and P addition was equal to the N and P removal by the system. The design tested the accumulation of elements in a continuous recirculation system. Potassium, Cl, S, Ca, and Mg were abundantly available in the swine manure wastewaters and tended to accumulate, being a possible cause of concern for long-operating recirculation systems. The harvested duckweed was characterised for its mineral composition and protein content. In animal husbandry, trace elements are specifically added to animal feed as micronutrients and, thus, feedstuffs biofortified with essential trace elements can provide added value. Duckweed grown on the tested mixture of swine manure waste streams could be considered as a source of Mn, Zn, and Fe for swine feed, while it is not a source of Cu for swine feed. Moreover, it was observed that As, Cd, and Pb content were below the limits of the feed Directive 2002/32/EC in the duckweed grown on the tested medium. Overall, these results demonstrate that duckweed can effectively remove nutrients from agriculture wastewaters in a recirculated system while producing a feed source with a protein content of 35% DM.</p>", "keywords": ["Agriculture and Food Sciences", "CONSTRUCTED WETLAND", "mineral supplements", "01 natural sciences", "Article", "BIOMASS", "12. Responsible consumption", "REMOVAL", "agricultural wastewater", "WASTE-WATER", "nutrient recovery", "remediation", "Lemnaceae", "ACCUMULATION", "0105 earth and related environmental sciences", "2. Zero hunger", "feed safety", "Botany", "PERFORMANCE", "6. Clean water", "NITROGEN", "PHOSPHORUS", "QK1-989", "GROWTH", "accumulation", "DUCKWEED"]}, "links": [{"href": "http://www.mdpi.com/2223-7747/10/6/1124/pdf"}, {"href": "https://doi.org/10.3390/plants10061124"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plants", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/plants10061124", "name": "item", "description": "10.3390/plants10061124", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/plants10061124"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-06-01T00:00:00Z"}}, {"id": "10.3390/s21092980", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:20:51Z", "type": "Journal Article", "created": "2021-04-25", "title": "Towards the Development and Verification of a 3D-Based Advanced Optimized Farm Machinery Trajectory Algorithm", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Efforts related to minimizing the environmental burden caused by agricultural activities and increasing economic efficiency are key contemporary drivers in the precision agriculture domain. Controlled Traffic Farming (CTF) techniques are being applied against soil compaction creation, using the on-line optimization of trajectory planning for soil-sensitive field operations. The research presented in this paper aims at a proof-of-concept solution with respect to optimizing farm machinery trajectories in order to minimize the environmental burden and increase economic efficiency. As such, it further advances existing CTF solutions by including (1) efficient plot divisions in 3D, (2) the optimization of entry and exit points of both plot and plot segments, (3) the employment of more machines in parallel and (4) obstacles in a farm machinery trajectory. The developed algorithm is expressed in terms of unified modeling language (UML) activity diagrams as well as pseudo-code. Results were visualized in 2D and 3D to demonstrate terrain impact. Verifications were conducted at a fully operational commercial farm (Rost\u011bnice, the Czech Republic) against second-by-second sensor measurements of real farm machinery trajectories.</p></article>", "keywords": ["Agriculture and Food Sciences", "2. Zero hunger", "Technology and Engineering", "controlled traffic farming", "Chemical technology", "mission planning", "TP1-1185", "04 agricultural and veterinary sciences", "Biochemistry", "Article", "Analytical Chemistry", "soil compaction", "Atomic and Molecular Physics", "digital elevation model", "AGRICULTURAL ROBOTS", "0401 agriculture", " forestry", " and fisheries", "Electrical and Electronic Engineering", "and Optics", "coverage path planning", "controlled traffic farming; coverage path planning; digital elevation model; mission planning; soil compaction"]}, "links": [{"href": "http://www.mdpi.com/1424-8220/21/9/2980/pdf"}, {"href": "https://www.mdpi.com/1424-8220/21/9/2980/pdf"}, {"href": "https://doi.org/10.3390/s21092980"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sensors", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/s21092980", "name": "item", "description": "10.3390/s21092980", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/s21092980"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-04-23T00:00:00Z"}}, {"id": "1854/LU-01HDKBPVW8Y8ZFTAZJ3JZ2SX9M", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:48Z", "type": "Journal Article", "created": "2023-06-29", "title": "The Plant Growth-Promoting Potential of Halotolerant Bacteria Is Not Phylogenetically Determined: Evidence from Two Bacillus megaterium Strains Isolated from Saline Soils Used to Grow Wheat", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>(1) Background: Increasing salinity, further potentiated by climate change and soil degradation, will jeopardize food security even more. Therefore, there is an urgent need for sustainable agricultural practices capable of maintaining high crop yields despite adverse conditions. Here, we tested if wheat, a salt-sensitive crop, could be a good reservoir for halotolerant bacteria with plant growth-promoting (PGP) capabilities. (2) Methods: We used two agricultural soils from Algeria, which differ in salinity but are both used to grow wheat. Soil halotolerant bacterial strains were isolated and screened for 12 PGP traits related to phytohormone production, improved nitrogen and phosphorus availability, nutrient cycling, and plant defence. The four \u2018most promising\u2019 halotolerant PGPB strains were tested hydroponically on wheat by measuring their effect on germination, survival, and biomass along a salinity gradient. (3) Results: Two halotolerant bacterial strains with PGP traits were isolated from the non-saline soil and were identified as Bacillus subtilis and Pseudomonas fluorescens, and another two halotolerant bacterial strains with PGP traits were isolated from the saline soil and identified as B. megaterium. When grown under 250 mM of NaCl, only the inoculated wheat seedlings survived. The halotolerant bacterial strain that displayed all 12 PGP traits and promoted seed germination and plant growth the most was one of the B. megaterium strains isolated from the saline soil. Although they both belonged to the B. megaterium clade and displayed a remarkable halotolerance, the two bacterial strains isolated from the saline soil differed in two PGP traits and had different effects on plant performance, which clearly shows that PGP potential is not phylogenetically determined. (4) Conclusions: Our data highlight that salt-sensitive plants and non-saline soils can be reservoirs for halotolerant microbes with the potential to become effective and sustainable strategies to improve plant tolerance to salinity. However, these strains need to be tested under field conditions and with more crops before being considered biofertilizer candidates.</p></article>", "keywords": ["2. Zero hunger", "Agriculture and Food Sciences", "PRODUCTIVITY", "DEFENSE", "QH301-705.5", "AUXIN", "15. Life on land", "plant growth promoting traits", "Article", "12. Responsible consumption", "salinity", "SALT STRESS", "NITROGEN", "halotolerant bacterial strains", "13. Climate action", "wheat", "biofertilizer", "ASSAY", "biofertilizer; halotolerant bacterial strains; plant growth promoting traits; salinity; wheat", "TOLERANCE", "Biology (General)", "ADAPTATION", "TRIGGER"]}, "links": [{"href": "http://www.mdpi.com/2076-2607/11/7/1687/pdf"}, {"href": "https://repositorio.ulisboa.pt/bitstream/10451/59751/1/Bessai%20et%20al%202023.pdf"}, {"href": "https://www.mdpi.com/2076-2607/11/7/1687/pdf"}, {"href": "https://doi.org/1854/LU-01HDKBPVW8Y8ZFTAZJ3JZ2SX9M"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Microorganisms", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1854/LU-01HDKBPVW8Y8ZFTAZJ3JZ2SX9M", "name": "item", "description": "1854/LU-01HDKBPVW8Y8ZFTAZJ3JZ2SX9M", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-01HDKBPVW8Y8ZFTAZJ3JZ2SX9M"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-06-28T00:00:00Z"}}, {"id": "1854/LU-01JKX1Z1QJK1BHR9JV20HBZ5Z4", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:49Z", "type": "Journal Article", "created": "2023-05-13", "title": "Optimisation of AquaCrop backscatter simulations using Sentinel-1 observations", "description": "Open AccessIn preparation for active microwave-based data assimilation into a crop modeling system, the mapping of daily 1-km AquaCrop model (v6.1) biomass and surface soil moisture to backscatter was optimised, using two forward operators, i.e. the Water Cloud Model (WCM) and the Support Vector Regression (SVR). Both forward operators were calibrated (2014\u20132018) with 1-km Sentinel-1 backscatter (\u03d2\u00b0) observations in VV and VH polarisation, for three different study domains in Europe. For the validation period (2019\u20132021), the \u03d2\u00b0 simulations showed reasonable performances around Czech Republic and the Iberian Peninsula, to good performances over Belgium, but with strong variations within each domain. The domain-averaged root mean square difference between the model and Sentinel-1 \u03d2\u00b0 remained below 2 dB for both forward operators and all three study domains, and the mean bias for VV remained close to 0 dB, and close 0.5 dB for the VH polarisation. The WCM and SVR performed better in VV than VH and overall the SVR performed slightly better in mapping the AquaCrop soil moisture and vegetation to backscatter than the WCM. Additionally, the assumed linear relationship in the WCM between soil moisture and soil \u03d2\u00b0 holds better for VV than for VH. The remaining differences between WCM or SVR simulations and Sentinel-1 observations are mainly caused by AquaCrop model errors.", "keywords": ["Agriculture and Food Sciences", "Technology", "ASSIMILATION", "Sentine;-1", "Environmental Sciences & Ecology", "Geological & Geomatics Engineering", "BIOMASS", "Remote Sensing", "SAR BACKSCATTER", "SURFACE SOIL-MOISTURE", "SUPPORT", "0909 Geomatic Engineering", "WATER", "FAO CROP MODEL", "Imaging Science & Photographic Technology", "crop biomass", "Crop biomass", "YIELD RESPONSE", "Science & Technology", "backscatter modelling", "Backscatter modeling", "LEAF-AREA INDEX", "RADAR BACKSCATTER", "37 Earth sciences", "AquaCrop optimisation", "13. Climate action", "Earth and Environmental Sciences", "Sentinel-1", "Soil moisture", "0406 Physical Geography and Environmental Geoscience", "Life Sciences & Biomedicine", "Environmental Sciences"]}, "links": [{"href": "https://biblio.vub.ac.be/vubirfiles/112110259/108189295.pdf"}, {"href": "https://doi.org/1854/LU-01JKX1Z1QJK1BHR9JV20HBZ5Z4"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing%20of%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1854/LU-01JKX1Z1QJK1BHR9JV20HBZ5Z4", "name": "item", "description": "1854/LU-01JKX1Z1QJK1BHR9JV20HBZ5Z4", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-01JKX1Z1QJK1BHR9JV20HBZ5Z4"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-08-01T00:00:00Z"}}, {"id": "1854/LU-01JM00E41RAYQZ9BSHZ6EH3WV9", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:49Z", "type": "Journal Article", "created": "2025-02-03", "title": "How do varying nitrogen fertilization rates affect crop yields and riverine N2O emissions? A hybrid modeling study", "description": "Headwater streams in agricultural areas constitute significant sources of nitrous oxide (N2O) due to nutrient enrichment; however, their emissions are often overlooked in current environmental impact assessments. This scarcity highlights the importance of developing advanced decision tools to evaluate these contributions and create effective mitigation strategies. Our study establishes the first integrated modeling framework that combines a process-based model SWAT+ with a linear mixed model (LMM) to predict N2O emissions from a headwater agricultural river system in Belgium under diverse climate change and fertilization scenarios. In particular, the calibrated and validated SWAT+ model was used to simulate streamflow, nutrient transport, and crop yields under these scenarios, from which, together with biochemical data collected from sampling campaigns, riverine N2O emissions were predicted via LMM. Our results revealed hydrologically driven patterns in riverine N2O emissions, with peak emissions in winter and spring, driven by precipitations enhancing shallow subsurface flows, carrying leached nutrients from fields to the river, and fueling N2O emissions. These phenomena were intensified under climate change scenarios, especially during combined wetter and hotter winters and springs, which elevated headwater N2O emissions by 40 %. Moreover, when coupling these conditions with a 20 % increase in fertilizer rates, riverine N2O emissions would be boosted by 83 %. These findings underscore the importance of integrating land-surface and river processes, to effectively quantify the feedback loop between river nutrient enrichment and climate change under the influence of agricultural practices, and to support comprehensive mitigation strategies under the warming climate.", "keywords": ["Agriculture and Food Sciences", "Riverine nitrous oxide dynamics", "PROTOCOL", "Crops", " Agricultural", "CLIMATE-CHANGE", "IMPACT", "Nitrogen", "Climate Change", "Nitrous Oxide", "Agriculture", "PERFORMANCE", "Models", " Theoretical", "Headwater streams", "OXIDE EMISSIONS", "Hybrid modeling", "Rivers", "Belgium", "Agricultural GHG impact", "Climate change", "STREAMS", "Fertilizers"]}, "links": [{"href": "https://doi.org/1854/LU-01JM00E41RAYQZ9BSHZ6EH3WV9"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1854/LU-01JM00E41RAYQZ9BSHZ6EH3WV9", "name": "item", "description": "1854/LU-01JM00E41RAYQZ9BSHZ6EH3WV9", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-01JM00E41RAYQZ9BSHZ6EH3WV9"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-05-01T00:00:00Z"}}, {"id": "1854/LU-01HKW8NV919BHYC76RGK7TE6QG", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:49Z", "type": "Journal Article", "created": "2023-11-22", "title": "First Steps in Developing a Fast, Cheap, and Reliable Method to Distinguish Wild Mushroom and Truffle Species", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Wild mushrooms and truffles (MT) are important resources, which can contribute to the socioeconomic sustainability of forestry ecosystems. However, not all wild MT are edible. Fast, cheap, and reliable methods that distinguish wild MT species (including the deadly ones) can contribute to valuing these important forest resources. Here, we tested if wild MT species, and their edibility, could be distinguished based on their aroma profiles (i.e., smellprints). For that, we combined the use of the electronic nose with classification models (linear discriminant analysis (LDA) and partial least squares discriminant analysis (PLS-DA)) to distinguish between 14 wild MT species (including edible and non-edible species) collected in Portugal. The 14 wild MT species could be accurately distinguished using LDA (93% accuracy), while the edible and non-edible species could be accurately distinguished using both LDA and PLS-DA (97% and 99% accuracy, respectively). Keeping in mind that our methodological design\u2019s feasibility was verified using a small sample, the data show the potential of the combined use of the electronic nose with discriminant analysis to distinguish wild MT species and their edibility based on their aromatic profile. Although a larger dataset will be necessary to develop a quick and reliable identification method, it shows potential to be as accurate as the identification performed by mycologists and molecular biology, yet requiring less technical training, and the analyses are cheaper and faster.</p></article>", "keywords": ["Agriculture and Food Sciences", "electronic nose", "electronic nose; forest resources; identification method; volatile profile; wild mushrooms and truffles", "identification method", "IDENTIFICATION", "Science", "Q", "FUNGI", "volatile profile", "04 agricultural and veterinary sciences", "NUTRITIONAL-VALUE", "15. Life on land", "CHEMICAL-COMPOSITION", "FOREST", "0404 agricultural biotechnology", "FOOD", "MANAGEMENT", "wild mushrooms and truffles", "0405 other agricultural sciences", "POISONOUS MUSHROOMS", "forest resources", "Nature and Landscape Conservation"]}, "links": [{"href": "https://repositorio.ulisboa.pt/bitstream/10451/61723/1/Ferreira%20et%20al%202023c.pdf"}, {"href": "https://doi.org/1854/LU-01HKW8NV919BHYC76RGK7TE6QG"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Resources", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1854/LU-01HKW8NV919BHYC76RGK7TE6QG", "name": "item", "description": "1854/LU-01HKW8NV919BHYC76RGK7TE6QG", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-01HKW8NV919BHYC76RGK7TE6QG"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-11-22T00:00:00Z"}}, {"id": "1854/LU-01JV4A4VV9MSQATBRHJD3K77RH", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:49Z", "type": "Journal Article", "created": "2025-04-25", "title": "Multi-dimensional evaluation of site-specific tillage using mouldboard ploughing", "description": "Due to the lack of high-resolution data on soil compaction using proximal sensing technology, mouldboard (MB) ploughing is carried out at uniform speed and depth, which does not necessarily respond to tillage needs due to compaction level and depth that are spatially variable across the field area. This study aims at simulating the comparative performance of different site specific tillage (SST) schemes (e.g., speed and depth) and uniform tillage of a MB plough using a high resolution soil packing density (PD) maps. An on-the-go soil sensing platform was used to predict and map topsoil PD in a Luvisol field in Belgium and two Cambisol fields in Spain. All fields were divided into three management zones, to each of which different tillage speed and depth were assigned based on PD maps. A MATLAB simulation code was developed to predict and compare the power efficiency, fuel consumption, emission of carbon dioxide (CO2) from diesel combustion and total operating time of uniform, SST depth, SST speed, and hybrid SST depth and speed MB ploughing schemes. Results revealed that the degree of soil compaction varies from field to field and within fields, which necessitates SST tillage practices. It was found that the depth control was the best performing SST in fields having large areas with low (PD < 1.55) and medium (PD = 1.55 - 1.70) compaction levels, resulting in the largest reduction in draught (33.7 % - 57 %), fuel consumption and CO2 emission (29.6 % - 50.1 %), while using the same operational time as that of the uniform tillage. However, in cases when the majority of the field area was highly compacted (PD > 1.70), potential savings were smaller at 22.5 %, with the speed control emerged as a more effective control scheme. It is recommended to validate the simulation results of SST of MB ploughing in fields to enable assessing the impacts they have on crop responses and soil quality.", "keywords": ["Agriculture and Food Sciences", "CALIBRATION", "NEAR-INFRARED SPECTROSCOPY", "Precision agriculture", "IN-SITU", "SOIL COMPACTION", "Compaction", "LOAM", "Energy consumption", "DENSITY", "ONLINE SENSOR", "On-the-go soil sensing", "Simulation", "TOPSOIL COMPACTION"]}, "links": [{"href": "https://doi.org/1854/LU-01JV4A4VV9MSQATBRHJD3K77RH"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20and%20Tillage%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1854/LU-01JV4A4VV9MSQATBRHJD3K77RH", "name": "item", "description": "1854/LU-01JV4A4VV9MSQATBRHJD3K77RH", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-01JV4A4VV9MSQATBRHJD3K77RH"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-10-01T00:00:00Z"}}, {"id": "1854/LU-01K80YYVSXWSSZA85FYH4AZYWN", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:49Z", "type": "Journal Article", "created": "2025-02-08", "title": "Light and substrate composition control root exudation rates at the initial stages of soilless lettuce cultivation", "description": "ABSTRACT<p>Plant root exudation is an inherent metabolic process that enhances various functions of the root system like the mobilization of nutrients and interactions with surrounding microbial communities. The role and extent of root exudation in soilless crop production is poorly investigated. Here, we analyzed soilless lettuce and show that the root exudation rate declines with plant age. Furthermore, the impact of light quality and substrate was assessed by growing soilless lettuce in 100% red light (660 nm), 100% blue light (450 nm), and white light (full-light spectrum) and in 100% perlite, 100% potting soil, or mixtures of both materials. Root exudates were collected at 10, 17 and 24 days after transplanting. The total carbon root exudation rate was influenced by light conditions and substrate composition at the earliest timepoint of the culture but not at later growth stages. The total carbohydrate exudation rate was significantly higher under pure blue and red light compared to white light. The impact of light depended on the presence of perlite in the substrate. The total phenolic compound exudation rate was most strongly influenced by the substrate composition and reached the highest level in either pure potting soil or pure perlite. These findings underscore the importance of root exudation during the initial stages of development. Light and growing media influence the exudation rate at this early stage, suggesting that exudation is an adaptive process of the soilless lettuce culture.</p>HIGHLIGHT<p>At an initial stage of development, soilless lettuce exudation rates are high and modulated by light and substrate composition, whereas older plants show lower rates that are not influenced by these environmental conditions.</p", "keywords": ["Agriculture and Food Sciences", "2. Zero hunger", "Hydroponics", "TISSUE", "Root exudate", "Growing medium", "Plant age", "Lettuce", "Potting soil", "15. Life on land", "B RADIATION", "Light quality", "Research Paper"]}, "links": [{"href": "https://doi.org/1854/LU-01K80YYVSXWSSZA85FYH4AZYWN"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Scientia%20Horticulturae", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1854/LU-01K80YYVSXWSSZA85FYH4AZYWN", "name": "item", "description": "1854/LU-01K80YYVSXWSSZA85FYH4AZYWN", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-01K80YYVSXWSSZA85FYH4AZYWN"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-05-31T00:00:00Z"}}, {"id": "1854/LU-8709527", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:49Z", "type": "Journal Article", "created": "2021-04-25", "title": "Towards the Development and Verification of a 3D-Based Advanced Optimized Farm Machinery Trajectory Algorithm", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Efforts related to minimizing the environmental burden caused by agricultural activities and increasing economic efficiency are key contemporary drivers in the precision agriculture domain. Controlled Traffic Farming (CTF) techniques are being applied against soil compaction creation, using the on-line optimization of trajectory planning for soil-sensitive field operations. The research presented in this paper aims at a proof-of-concept solution with respect to optimizing farm machinery trajectories in order to minimize the environmental burden and increase economic efficiency. As such, it further advances existing CTF solutions by including (1) efficient plot divisions in 3D, (2) the optimization of entry and exit points of both plot and plot segments, (3) the employment of more machines in parallel and (4) obstacles in a farm machinery trajectory. The developed algorithm is expressed in terms of unified modeling language (UML) activity diagrams as well as pseudo-code. Results were visualized in 2D and 3D to demonstrate terrain impact. Verifications were conducted at a fully operational commercial farm (Rost\u011bnice, the Czech Republic) against second-by-second sensor measurements of real farm machinery trajectories.</p></article>", "keywords": ["Agriculture and Food Sciences", "2. Zero hunger", "Technology and Engineering", "controlled traffic farming", "Chemical technology", "mission planning", "TP1-1185", "04 agricultural and veterinary sciences", "Biochemistry", "Article", "Analytical Chemistry", "soil compaction", "Atomic and Molecular Physics", "digital elevation model", "AGRICULTURAL ROBOTS", "0401 agriculture", " forestry", " and fisheries", "Electrical and Electronic Engineering", "and Optics", "coverage path planning", "controlled traffic farming; coverage path planning; digital elevation model; mission planning; soil compaction"]}, "links": [{"href": "http://www.mdpi.com/1424-8220/21/9/2980/pdf"}, {"href": "https://www.mdpi.com/1424-8220/21/9/2980/pdf"}, {"href": "https://doi.org/1854/LU-8709527"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sensors", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1854/LU-8709527", "name": "item", "description": "1854/LU-8709527", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-8709527"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-04-23T00:00:00Z"}}, {"id": "1854/LU-8716615", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:24:18Z", "type": "Report", "title": "Data fusion modelling of visible-near-infrared and mid-infrared spectra", "description": "Spectroscopy has emerged as a solution to estimate key soil attributes in precision agriculture (PA) during recent decades. Chemometrics and machine-learning methods are used in order to extract useful information out of the spectra. In this paper, the performance of visible-near-infrared (Vis-NIR) and mid-infrared (MIR) spectrophotometers for the prediction of pH, organic carbon (OC), phosphorous (P), potassium (K), magnesium (Mg), calcium (Ca), sodium (Na), moisture content (MC), and cation exchange capacity (CEC) were evaluated. Using 267soil samples measured with a CompactSensspectrometer (tec5 technology, Germany) with 350-1700nm spectral range and a 4300-FTIR (Agilent, US) with 650-4000cm-1spectral range, we compared single-sensor partial least squares (PLS) regression after feature selection. To take advantage of both sensors, the combined use of them were evaluated in three fusion scenarios: 1. Spectral concatenation (SC) in which the raw vis-NIR and MIR spectra are concatenated; 2. Feature fusion (FF) wherein the features (i.e., selected spectral ranges) of vis-NIR and MIR are concatenated; and 3. Fusion of the predictions given by vis-NIR and MIR PLS-basedmodels by linear regression (LR). The validation results showed that the vis-NIR model outperforms the MIR model in the prediction of all studied attributes, except for pH, Ca, and CEC. Furthermore, the single-sensor accuracies were improved in all cases by LRwhile SC and FF enhanced the single-sensor accuracies just in cases of OC, Ca, and CEC with FF being superior to SC. However, the improvement achieved by fusion was not significant. Accordingly, it is suggested to use just vis-NIR for prediction of the studied soil attributes since it showed more robustness than MIR.", "keywords": ["Agriculture and Food Sciences", "spectroscopy", "precision agriculture", "visible-near-infrared", "mid-infrared", "Data fusion"], "contacts": [{"organization": "Javadi, Seyed Hamed, Mouazen, Abdul,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/1854/LU-8716615"}, {"rel": "self", "type": "application/geo+json", "title": "1854/LU-8716615", "name": "item", "description": "1854/LU-8716615", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-8716615"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "1854/LU-8746428", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:49Z", "type": "Journal Article", "created": "2022-01-16", "title": "Clustering and Smoothing Pipeline for Management Zone Delineation Using Proximal and Remote Sensing", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>In precision agriculture (PA) practices, the accurate delineation of management zones (MZs), with each zone having similar characteristics, is essential for map-based variable rate application of farming inputs. However, there is no consensus on an optimal clustering algorithm and the input data format. In this paper, we evaluated the performances of five clustering algorithms including k-means, fuzzy C-means (FCM), hierarchical, mean shift, and density-based spatial clustering of applications with noise (DBSCAN) in different scenarios and assessed the impacts of input data format and feature selection on MZ delineation quality. We used key soil fertility attributes (moisture content (MC), organic carbon (OC), calcium (Ca), cation exchange capacity (CEC), exchangeable potassium (K), magnesium (Mg), sodium (Na), exchangeable phosphorous (P), and pH) collected with an online visible and near-infrared (vis-NIR) spectrometer along with Sentinel2 and yield data of five commercial fields in Belgium. We demonstrated that k-means is the optimal clustering method for MZ delineation, and the input data should be normalized (range normalization). Feature selection was also shown to be positively effective. Furthermore, we proposed an algorithm based on DBSCAN for smoothing the MZs maps to allow smooth actuating during variable rate application by agricultural machinery. Finally, the whole process of MZ delineation was integrated in a clustering and smoothing pipeline (CaSP), which automatically performs the following steps sequentially: (1) range normalization, (2) feature selection based on cross-correlation analysis, (3) k-means clustering, and (4) smoothing. It is recommended to adopt the developed platform for automatic MZ delineation for variable rate applications of farming inputs.</p></article>", "keywords": ["Agriculture and Food Sciences", "2. Zero hunger", "Spatial Analysis", "precision agriculture", "ACCURACY", "Chemical technology", "management zone delineation", "TP1-1185", "04 agricultural and veterinary sciences", "15. Life on land", "Article", "VARIABILITY", "Soil", "YIELD", "FUSION", "feature selection", "ATTRIBUTES", "clustering; feature selection; management zone delineation; precision agriculture", "Remote Sensing Technology", "Cluster Analysis", "0401 agriculture", " forestry", " and fisheries", "FIELD", "SOIL-PHOSPHORUS", "Algorithms", "clustering"]}, "links": [{"href": "http://www.mdpi.com/1424-8220/22/2/645/pdf"}, {"href": "https://www.mdpi.com/1424-8220/22/2/645/pdf"}, {"href": "https://doi.org/1854/LU-8746428"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sensors", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1854/LU-8746428", "name": "item", "description": "1854/LU-8746428", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-8746428"}, {"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": "oai:archive.ugent.be:8716615", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:32:14Z", "type": "Report", "title": "Data fusion modelling of visible-near-infrared and mid-infrared spectra", "description": "Spectroscopy has emerged as a solution to estimate key soil attributes in precision agriculture (PA) during recent decades. Chemometrics and machine-learning methods are used in order to extract useful information out of the spectra. In this paper, the performance of visible-near-infrared (Vis-NIR) and mid-infrared (MIR) spectrophotometers for the prediction of pH, organic carbon (OC), phosphorous (P), potassium (K), magnesium (Mg), calcium (Ca), sodium (Na), moisture content (MC), and cation exchange capacity (CEC) were evaluated. Using 267soil samples measured with a CompactSensspectrometer (tec5 technology, Germany) with 350-1700nm spectral range and a 4300-FTIR (Agilent, US) with 650-4000cm-1spectral range, we compared single-sensor partial least squares (PLS) regression after feature selection. To take advantage of both sensors, the combined use of them were evaluated in three fusion scenarios: 1. Spectral concatenation (SC) in which the raw vis-NIR and MIR spectra are concatenated; 2. Feature fusion (FF) wherein the features (i.e., selected spectral ranges) of vis-NIR and MIR are concatenated; and 3. Fusion of the predictions given by vis-NIR and MIR PLS-basedmodels by linear regression (LR). The validation results showed that the vis-NIR model outperforms the MIR model in the prediction of all studied attributes, except for pH, Ca, and CEC. Furthermore, the single-sensor accuracies were improved in all cases by LRwhile SC and FF enhanced the single-sensor accuracies just in cases of OC, Ca, and CEC with FF being superior to SC. However, the improvement achieved by fusion was not significant. 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