{"type": "FeatureCollection", "features": [{"id": "10.3390/w15091739", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-08-24T16:19:22Z", "type": "Journal Article", "created": "2023-05-01", "title": "Developing an Open-Source IoT Platform for Optimal Irrigation Scheduling and Decision-Making: Implementation at Olive Grove Parcels", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Climate change has reduced the availability of good quality water for agriculture, while favoring the proliferation of harmful insects, especially in Mediterranean areas. Deploying IoT-based systems can help optimize water-use efficiency in agriculture and address problems caused by extreme weather events. This work presents an IoT-based monitoring system for obtaining soil moisture, soil electrical conductivity, soil temperature and meteorological data useful in irrigation management and pest control. The proposed system was implemented and evaluated for olive parcels located both at coastal and inland areas of the eastern part of Crete; these areas face severe issues with water availability and saltwater intrusion (coastal region). The system includes the monitoring of soil moisture and atmospheric sensors, with the aim of providing information to farmers for decision-making and at the future implementation of an automated irrigation system, optimizing the use of water resources. Data acquisition was performed through smart sensors connected to a microcontroller. Data were received at a portal and made available on the cloud, being monitored in real-time through an open-source IoT platform. An e-mail alert was sent to the farmers when soil moisture was lower than a threshold value specific to the soil type or when climatic conditions favored the development of the olive fruit fly. One of the main advantages of the proposed decision-making system is a low-cost IoT solution, as it is based on open-source software and the hardware on edge devices consists of widespread economic modules. The reliability of the IoT-based monitoring system has been tested and could be used as a support service tool offering an efficient irrigation and pest control service.</p></article>", "keywords": ["2. Zero hunger", "0106 biological sciences", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "agricultural water management; decision support system; soil moisture; EC; smart sensor; Internet of Things; remote sensing", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "6. Clean water"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/15/9/1739/pdf"}, {"href": "https://doi.org/10.3390/w15091739"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/w15091739", "name": "item", "description": "10.3390/w15091739", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/w15091739"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-04-30T00:00:00Z"}}, {"id": "10.5194/acp-23-5487-2023", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:19:42Z", "type": "Journal Article", "created": "2023-05-17", "title": "Comparison of dust optical depth from multi-sensor products and MONARCH (Multiscale Online Non-hydrostatic AtmospheRe CHemistry) dust reanalysis over North Africa, the Middle East, and Europe", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Aerosol reanalysis datasets are model-based, observationally constrained, continuous 3D aerosol fields with a relatively high temporal frequency that can be used to assess aerosol variations and trends, climate effects, and impacts on socioeconomic sectors, such as health. Here we compare and assess the recently published MONARCH (Multiscale Online Non-hydrostatic AtmospheRe CHemistry) high-resolution regional desert dust reanalysis over northern Africa, the Middle East, and Europe (NAMEE) with a combination of ground-based observations and space-based dust retrievals and products. In particular, we compare the total and coarse dust optical depth (DOD) from the new reanalysis with DOD products derived from MODIS (MODerate resolution Imaging Spectroradiometer), MISR (Multi-angle Imaging SpectroRadiometer), and IASI (Infrared Atmospheric Sounding Interferometer) spaceborne instruments. Despite the larger uncertainties, satellite-based datasets provide a better geographical coverage than ground-based observations, and the use of different retrievals and products allows at least partially overcoming some single-product weaknesses in the comparison. Nevertheless, limitations and uncertainties due to the type of sensor, its operating principle, its sensitivity, its temporal and spatial resolution, and the methodology for retrieving or further deriving dust products are factors that bias the reanalysis assessment. We, therefore, also use ground-based DOD observations provided by 238 stations of the AERONET (AErosol RObotic NETwork) located within the NAMEE region as a reference evaluation dataset. In particular, prior to the reanalysis assessment, the satellite datasets were evaluated against AERONET, showing moderate underestimations in the vicinities of dust sources and downwind regions, whereas small or significant overestimations, depending on the dataset, can be found in the remote regions. Taking these results into consideration, the MONARCH reanalysis assessment shows that total and coarse-DOD simulations are consistent with satellite- and ground-based data, qualitatively capturing the major dust sources in the area in addition to the dust transport patterns. Moreover, the MONARCH reanalysis reproduces the seasonal dust cycle, identifying the increased dust activity that occurred in the NAMEE region during spring and summer. The quantitative comparison between the MONARCH reanalysis DOD and satellite multi-sensor products shows that the reanalysis tends to slightly overestimate the desert dust that is emitted from the source regions and underestimate the transported dust over the outflow regions, implying that the model's removal of dust particles from the atmosphere, through deposition processes, is too effective. More specifically, small positive biases are found over the Sahara desert (0.04) and negative biases over the Atlantic Ocean and the Arabian Sea (\u22120.04), which constitute the main pathways of the long-range dust transport. Considering the DOD values recorded on average there, such discrepancies can be considered low, as the low relative bias in the Sahara desert (&lt;\u200950\u2009%) and over the adjacent maritime regions (&lt;\u2009100\u2009%) certifies. Similarly, over areas with intense dust activity, the linear correlation coefficient between the MONARCH reanalysis simulations and the ensemble of the satellite products is significantly high for both total and coarse DOD, reaching 0.8 over the Middle East, the Atlantic Ocean, and the Arabian Sea and exceeding it over the African continent. Moreover, the low relative biases and high correlations are associated with regions for which large numbers of observations are available, thus allowing for robust reanalysis assessment.                     </p></article>", "keywords": ["[SDE] Environmental Sciences", "aerosol", "temporal analysis", "Physics", "QC1-999", "North Africa", "01 natural sciences", "observational method", "optical depth", "Europe", "Chemistry", "Middle East", "13. Climate action", "satellite sensor", "dust", "QD1-999", "ground-based measurement", "comparative study", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://iris.cnr.it/bitstream/20.500.14243/459659/1/prod_487259-doc_202407.pdf"}, {"href": "https://acp.copernicus.org/articles/23/5487/2023/acp-23-5487-2023.pdf"}, {"href": "https://doi.org/10.5194/acp-23-5487-2023"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/acp-23-5487-2023", "name": "item", "description": "10.5194/acp-23-5487-2023", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/acp-23-5487-2023"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-05-17T00:00:00Z"}}, {"id": "10.3929/ethz-b-000445427", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:19:25Z", "type": "Journal Article", "created": "2020-09-08", "title": "GP-ARX-Based Structural Damage Detection and Localization under Varying Environmental Conditions", "description": "<p>The representation of structural dynamics in the absence of physics-based models, is often accomplished through the identification of parametric models, such as the autoregressive with exogenous inputs, e.g. ARX models. When the structure is amenable to environmental variations, parameter-varying extensions of the original ARX model can be implemented, allowing for tracking of the operational variability. Yet, the latter occurs in sufficiently longer time-scales (days, weeks, months), as compared to system dynamics. For inferring a \uffe2\uff80\uff9cglobal\uffe2\uff80\uff9d, long time-scale varying ARX model, data from a full operational cycle has to typically become available. In addition, when the sensor network comprises multiple nodes, the identification of long time-scale varying, vector ARX models grow in complexity. We address these issues by proposing a distributed framework for structural identification, damage detection and localization. Its main features are: (i) the individual estimation of local, single-input-single-output ARX models at every operational point; (ii) the long time-scale representation of each individual ARX coefficient via a Gaussian process regression, which captures dependency on varying Environmental and Operational Conditions (EOCs); (iii) the establishment of a distributed residual generation algorithm for damage detection, which produces time-series of well-defined stationary statistics, with detected discrepancies used for damage diagnosis; and, (iv) exploitation of ARX-inferred mode shape curvatures, obtained via ARX-inferred global state-space models, of the healthy and damaged states, for damage localization. The method is assessed via application on two numerical case studies of different complexity, with the results confirming its efficacy for diagnostics under varying EOCs.</p>", "keywords": ["Technology", "0209 industrial biotechnology", "varying environmental and operational conditions", "Structural health monitoring", "structural health monitoring", "Damage detection and localization", "T", "mode shape curvatures", "distributed sensor network", "Autoregressive with exogenous inputs", "02 engineering and technology", "0201 civil engineering", "autoregressive with exogenous inputs", "Structural health monitoring; Varying environmental and operational conditions; Damage detection and localization; Gaussian process regression; Autoregressive with exogenous inputs; Distributed sensor network; Mode shape curvatures", "Distributed sensor network", "Mode shape curvatures", "damage detection and localization", "Varying environmental and operational conditions", "Gaussian process regression"]}, "links": [{"href": "http://www.mdpi.com/2224-2708/9/3/41/pdf"}, {"href": "https://doi.org/10.3929/ethz-b-000445427"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Sensor%20and%20Actuator%20Networks", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3929/ethz-b-000445427", "name": "item", "description": "10.3929/ethz-b-000445427", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3929/ethz-b-000445427"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-09-08T00:00:00Z"}}, {"id": "10.5194/hess-25-5749-2021", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:19:51Z", "type": "Journal Article", "created": "2021-11-09", "title": "The International Soil Moisture Network: serving  Earth system science for over a decade", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. In\u00a02009, the International Soil Moisture Network\u00a0(ISMN) was initiated as a community effort, funded by the European Space Agency, to serve as a centralised data hosting facility for globally available in situ soil moisture measurements (Dorigo et\u00a0al.,\u00a02011b, a). The ISMN brings together in situ soil moisture measurements collected and freely shared by a multitude of organisations, harmonises them in terms of units and sampling rates, applies advanced quality control, and stores them in a database. Users can freely retrieve the data from this database through an online web portal (https://ismn.earth/en/, last access: 28\u00a0October\u00a02021). Meanwhile, the ISMN has evolved into the primary in situ soil moisture reference database worldwide, as evidenced by more than 3000\u00a0active users and over 1000\u00a0scientific publications referencing the data sets provided by the network. As of July\u00a02021, the ISMN now contains the data of 71\u00a0networks and 2842\u00a0stations located all over the globe, with a time period spanning from\u00a01952 to the present. The number of networks and stations covered by the ISMN is still growing, and approximately 70\u2009% of the data sets contained in the database continue to be updated on a regular or irregular basis. The main scope of this paper is to inform readers about the evolution of the ISMN over the past decade, including a description of network and data set updates and quality control procedures. A comprehensive review of the existing literature making use of ISMN data is also provided in order to identify current limitations in functionality and data usage and to shape priorities for the next decade of operations of this unique community-based data repository.                     </p></article>", "keywords": ["[SDE] Environmental Sciences", "Technology", "Atmospheric Science", "550", "Soil Moisture", "TA Engineering (General). Civil engineering (General)", "02 engineering and technology", "Soil Moisture; ISMN; IMA_CAN1; swc; STEMS", "Spatial variability", "Environmental technology. Sanitary engineering", "01 natural sciences", "Agency (philosophy)", "remote sensing", "Antecedent wetness conditions", "Engineering", "Geography. Anthropology. Recreation", "GE1-350", "TD1-1066", "Smos brightness temperature", "Heihe river-basin", "T", "Soil Water Retention", "Leaf-area index", "004", "FOS: Philosophy", " ethics and religion", "Programming language", "Earth and Planetary Sciences", "Physical Sciences", "name=Water Science and Technology", "/dk/atira/pure/subjectarea/asjc/1900/1901", "Medicine", "name=Earth and Planetary Sciences (miscellaneous)", "Mechanics and Transport in Unsaturated Soils", "Environmental Engineering", "Soil Moisture International Network", "0207 environmental engineering", "Epistemology", "Environmental science", "G", "Database", "Soil Moisture; network", "Arctic Permafrost Dynamics and Climate Change", "Scope (computer science)", "Land data assimilation", "Civil and Structural Engineering", "0105 earth and related environmental sciences", "info:eu-repo/classification/ddc/550", "Consecutive dry days", "in situ", "FOS: Environmental engineering", "AMSR-E", "15. Life on land", "Remote Sensing of Soil Moisture", "Globe", "Computer science", "Environmental sciences", "QE Geology", "Philosophy", "Ophthalmology", "In-situ measurements", "13. Climate action", "ITC-ISI-JOURNAL-ARTICLE", "global scale", "Environmental Science", "G70.212-70.215 Geographic information system", "soil moisture", "ITC-GOLD", "/dk/atira/pure/subjectarea/asjc/2300/2312", "Wireless sensor network"]}, "links": [{"href": "https://iris.polito.it/bitstream/11583/2998914/1/prod_447100-doc_161016.pdf"}, {"href": "https://iris.polito.it/bitstream/11583/2998914/2/prod_447100-doc_178365.pdf"}, {"href": "https://research.unipg.it/bitstream/11391/1498417/2/2021_The%20international%20soil_OA.pdf"}, {"href": "https://cris.unibo.it/bitstream/11585/910145/1/Dourigo_etal_2021.pdf"}, {"href": "https://doi.org/10.5194/hess-25-5749-2021"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/hess-25-5749-2021", "name": "item", "description": "10.5194/hess-25-5749-2021", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/hess-25-5749-2021"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-09T00:00:00Z"}}, {"id": "10.5281/zenodo.1146786", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:20:06Z", "type": "Dataset", "title": "Data from: \"Non-metabolizable\" glucose analogue shines new light on priming mechanisms: Triggering of microbial metabolism", "description": "Open AccessRaw data for the article:  Kyle Mason-Jones*, Yakov Kuzyakov (2017)<br> \u201cNon-metabolizable\u201d glucose analogue shines new light on priming mechanisms: Triggering of microbial metabolism  Soil Biology and Biochemistry 107, 68-76  https://doi.org/10.1016/j.soilbio.2016.12.015  * corresponding author: kmasonj@gwdg.de", "keywords": ["2. Zero hunger", "Soil organic matter", "Microbial activation", "Chemosensory triggering", "Carbon cycle", "Apparent priming", "Microbial metabolism"], "contacts": [{"organization": "Mason-Jones, Kyle, Kuzyakov, Yakov,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.1146786"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.1146786", "name": "item", "description": "10.5281/zenodo.1146786", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.1146786"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-01-05T00:00:00Z"}}, {"id": "PMC8161293", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:24:59Z", "type": "Journal Article", "created": "2021-05-19", "title": "Platinum-Based Interdigitated Micro-Electrode Arrays for Reagent-Free Detection of Copper", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Water is a precious resource that is under threat from a number of pressures, including, for example, release of toxic compounds, that can have damaging effect on ecology and human health. The current methods of water quality monitoring are based on sample collection and analysis at dedicated laboratories. Recently, electrochemical-based methods have attracted a lot of attention for environmental sensing owing to their versatility, sensitivity and their ease of integration with cost effective, smart and portable readout systems. In the present work, we report on the fabrication and characterization of platinum-based interdigitated microband electrodes arrays, and their application for trace detection of copper. Using square wave voltammetry after acidification with mineral acids, a limit of detection of 0.8 \u03bcg/L was achieved. Copper detection was also undertaken on river water samples and compared with standard analytical techniques. The possibility of controlling the pH at the surface of the sensors\u2014thereby avoiding the necessity to add mineral acids\u2014was investigated. By applying potentials to drive the water splitting reaction at one comb of the sensor\u2019s electrode (the protonator), it was possible to lower the pH in the vicinity of the sensing electrode. Detection of standard copper solutions down to 5 \u03bcg/L (ppb) using this technique is reported. This reagent free method of detection opens the way for autonomous, in situ monitoring of pollutants in water bodies.</p></article>", "keywords": ["13. Climate action", "Chemical technology", "electrochemical sensors", "pH control", "TP1-1185", "02 engineering and technology", "heavy metals", "0210 nano-technology", "01 natural sciences", "Article", "6. Clean water", "environmental monitoring", "0104 chemical sciences"]}, "links": [{"href": "http://www.mdpi.com/1424-8220/21/10/3544/pdf"}, {"href": "https://doi.org/PMC8161293"}, {"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": "PMC8161293", "name": "item", "description": "PMC8161293", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PMC8161293"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-05-19T00:00:00Z"}}, {"id": "10.5281/zenodo.14150971", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:20:19Z", "type": "Report", "title": "D5.1 ProbeField: Best Practice Protocol for Field Spectroscopy and Assessment by Soil Spectral Library Based Calibrations", "description": "A step-by-step guide for spectral sampling directly in the field and for the subsequent mathematical preprocessing of spectra to 1) reduce noise and enhance spectral features related to soil properties, and 2) remove moisture effects and align spectra with laboratory-based soil spectral libraries (SSLs). The reader is also introduced to the very basics of soil spectroscopy and the main results of the Horizon 2020 EJP SOIL ProbeField project that outlined and tested this protocol. The aims is to produce spectra sampled directly in the field that to the largest possible degree resemble laboratory spectra so that soil properties may be predicted by models calibrated on soil spectral libraries.", "keywords": ["External Parameter Orthogonalisation", "EJP SOIL", "ProbeField", "Soil sciences", "Soil sensors", "Soil Organic Matter", "SOC", "proximal sensors", "Soil Spectroscopy", "EPO"], "contacts": [{"organization": "Stenberg, Bo, Koganti, Triven, Castaldi, Fabio, Metzger, Konrad, Buttafuoco, Gabriele, van Egmond, Fenny, Cayuela, Jos\u00e9 Antonio, Bor\u016fvka, Lubo\u0161, Debaene, Guillaume, Liebisch, Frank, Sand\u00e9n, Taru,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14150971"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14150971", "name": "item", "description": "10.5281/zenodo.14150971", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14150971"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-13T00:00:00Z"}}, {"id": "10.5281/zenodo.5653389", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-08-24T16:20:56Z", "type": "Other", "title": "Fast on-site detection of Ochratoxin A by the graphene-based field-effect transistors", "description": "Open AccessOral contribution", "keywords": ["mycotoxin", " graphene", " GFET", " biosensor"], "contacts": [{"organization": "Jari\u0107, Stefan, Nekrasov, Nikita, Kireev, Dmitry, Akinwande, Deji, Bobrinetskiy, Ivan,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.5653389"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.5653389", "name": "item", "description": "10.5281/zenodo.5653389", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.5653389"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-03T00:00:00Z"}}, {"id": "10.5281/zenodo.5653390", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-08-24T16:20:56Z", "type": "Other", "title": "Fast on-site detection of Ochratoxin A by the graphene-based field-effect transistors", "description": "Open AccessOral contribution", "keywords": ["mycotoxin", " graphene", " GFET", " biosensor"], "contacts": [{"organization": "Jari\ufffd\ufffd, Stefan, Nekrasov, Nikita, Kireev, Dmitry, Akinwande, Deji, Bobrinetskiy, Ivan,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.5653390"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.5653390", "name": "item", "description": "10.5281/zenodo.5653390", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.5653390"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-03T00:00:00Z"}}, {"id": "10.5281/zenodo.7199981", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-08-24T16:21:04Z", "type": "Report", "title": "Vyu\u017eit\u00ed senzor\u016f v zem\u011bd\u011blstv\u00ed", "description": "Open AccessZem\u011bd\u011blstv\u00ed je v sou\u010dasn\u00e9 dob\u011b ovliv\u0148ov\u00e1no \u0159adou extern\u00edch vliv\u016f, kter\u00e9 si v bl\u00edzk\u00e9 budoucnosti vynut\u00ed \u0159adu zm\u011bn, jak na farm\u011b v p\u0159\u00edm\u00e9 zem\u011bd\u011blsk\u00e9 produkci, tak ale t\u0159eba i p\u0159i formov\u00e1n\u00ed a uplat\u0148ov\u00e1n\u00ed zem\u011bd\u011blsk\u00e9 politiky. Tato problematika je podrobn\u011b rozebr\u00e1na v publikaci Velk\u00e1 data v zem\u011bd\u011blstv\u00ed. Vliv t\u011bchto faktor\u016f tvo\u0159\u00ed slo\u017eit\u00fd proces a \u00fasp\u011b\u0161n\u00e9 reagov\u00e1n\u00ed na tyto vlivy nen\u00ed trivi\u00e1ln\u00ed. Jednotliv\u00e9 vlivy \u010dasto p\u016fsob\u00ed protich\u016fdn\u011b a p\u0159izp\u016fsoben\u00ed se jednomu vlivu, m\u016f\u017ee znemo\u017enit \u00fasp\u011b\u0161n\u011b reagovat na jin\u00fd vliv. Nap\u0159\u00edklad d\u016fraz na kvalitu a bezpe\u010dnost potravin m\u016f\u017ee b\u00fdt v rozporu s po\u017eadavky na zvy\u0161ov\u00e1n\u00ed produkce kv\u016fli rostouc\u00edmu po\u010dtu obyvatel. Podobn\u011b je to s rostouc\u00ed produkc\u00ed a po\u017eadavkem na v\u00fdrobu bioenergie. \u00dasp\u011b\u0161n\u00e9 se p\u0159izp\u016fsoben\u00ed t\u011bmto budouc\u00edm vliv\u016fm vy\u017eaduje celkovou zm\u011bnu v p\u0159\u00edstupu k zem\u011bd\u011blstv\u00ed. Jedn\u00edm z p\u0159\u00edstup\u016f, kter\u00fd napom\u00e1h\u00e1 adaptaci zem\u011bd\u011blstv\u00ed na nov\u00e9 podm\u00ednky a z\u00edsk\u00e1v\u00e1 st\u00e1le v\u011bt\u0161\u00ed v\u00fdznam, a kter\u00fd klade obzvl\u00e1\u0161\u0165 vysok\u00e9 po\u017eadavky na dostupnost i kvalitu relevantn\u00edch dat a z nich odvozen\u00fdch informac\u00ed, je precizn\u00ed zem\u011bd\u011blstv\u00ed. Precizn\u00ed zem\u011bd\u011blstv\u00ed se zam\u011b\u0159uje na prov\u00e1d\u011bn\u00ed p\u011bstebn\u00edch z\u00e1sah\u016f v prav\u00fd \u010das, na spr\u00e1vn\u00e9m m\u00edst\u011b a o pot\u0159ebn\u00e9 intenzit\u011b. Jedn\u00edm ze zdroj\u016f velk\u00fdch dat v zem\u011bd\u011blstv\u00ed mohou b\u00fdt pr\u00e1v\u011b senzory, kter\u00e9 jsou hlavn\u00edm t\u00e9matem t\u00e9to publikace. Chytr\u00e9 zem\u011bd\u011blstv\u00ed vyu\u017e\u00edv\u00e1 nov\u00e9 technologie pro pr\u00e1ci s velk\u00fdmi daty, Internet v\u011bc\u00ed\u00b9 (anglicky Internet of Things \u2013 IoT), d\u00e1lkov\u00fd pr\u016fzkum Zem\u011b (DPZ), linked data a um\u011blou inteligenci ve v\u0161ech f\u00e1z\u00edch dodavatelsk\u00e9ho \u0159et\u011bzce zem\u011bd\u011blsk\u00fdch produkt\u016f. Senzory jsou dnes za\u0159azeny do tzv. Internetu v\u011bc\u00ed. Internet v\u011bc\u00ed je dnes pou\u017e\u00edv\u00e1n jako ozna\u010den\u00ed pro s\u00ed\u0165 fyzick\u00fdch za\u0159\u00edzen\u00ed, vozidel, dom\u00e1c\u00edch spot\u0159ebi\u010d\u016f a dal\u0161\u00edch za\u0159\u00edzen\u00ed, kter\u00e1 jsou vybavena elektronikou, softwarem, senzory, pohybliv\u00fdmi \u010d\u00e1stmi a s\u00ed\u0165ovou konektivitou, kter\u00e1 umo\u017e\u0148uje t\u011bmto za\u0159\u00edzen\u00edm se propojit a vym\u011b\u0148ovat si data.", "keywords": ["2. Zero hunger", "IoT", "dobr\u00e9 praxe", "sensor", "zem\u011bd\u011blstv\u00ed", "best practices", "senzor", "agriculture"], "contacts": [{"organization": "Kepka, Michal, Musil, Marek, Charv\u00e1t, Karel, K\u0159iv\u00e1nek, Zbyn\u011bk, Charv\u00e1t, Karel, \u010cern\u00fd, Luk\u00e1\u0161,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.7199981"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.7199981", "name": "item", "description": "10.5281/zenodo.7199981", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.7199981"}, {"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": "10.5281/zenodo.7199982", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-08-24T16:21:04Z", "type": "Report", "title": "Vyu\u017eit\u00ed senzor\u016f v zem\u011bd\u011blstv\u00ed", "description": "Open AccessZem\u011bd\u011blstv\u00ed je v sou\u010dasn\u00e9 dob\u011b ovliv\u0148ov\u00e1no \u0159adou extern\u00edch vliv\u016f, kter\u00e9 si v bl\u00edzk\u00e9 budoucnosti vynut\u00ed \u0159adu zm\u011bn, jak na farm\u011b v p\u0159\u00edm\u00e9 zem\u011bd\u011blsk\u00e9 produkci, tak ale t\u0159eba i p\u0159i formov\u00e1n\u00ed a uplat\u0148ov\u00e1n\u00ed zem\u011bd\u011blsk\u00e9 politiky. Tato problematika je podrobn\u011b rozebr\u00e1na v publikaci Velk\u00e1 data v zem\u011bd\u011blstv\u00ed. Vliv t\u011bchto faktor\u016f tvo\u0159\u00ed slo\u017eit\u00fd proces a \u00fasp\u011b\u0161n\u00e9 reagov\u00e1n\u00ed na tyto vlivy nen\u00ed trivi\u00e1ln\u00ed. Jednotliv\u00e9 vlivy \u010dasto p\u016fsob\u00ed protich\u016fdn\u011b a p\u0159izp\u016fsoben\u00ed se jednomu vlivu, m\u016f\u017ee znemo\u017enit \u00fasp\u011b\u0161n\u011b reagovat na jin\u00fd vliv. Nap\u0159\u00edklad d\u016fraz na kvalitu a bezpe\u010dnost potravin m\u016f\u017ee b\u00fdt v rozporu s po\u017eadavky na zvy\u0161ov\u00e1n\u00ed produkce kv\u016fli rostouc\u00edmu po\u010dtu obyvatel. Podobn\u011b je to s rostouc\u00ed produkc\u00ed a po\u017eadavkem na v\u00fdrobu bioenergie. \u00dasp\u011b\u0161n\u00e9 se p\u0159izp\u016fsoben\u00ed t\u011bmto budouc\u00edm vliv\u016fm vy\u017eaduje celkovou zm\u011bnu v p\u0159\u00edstupu k zem\u011bd\u011blstv\u00ed. Jedn\u00edm z p\u0159\u00edstup\u016f, kter\u00fd napom\u00e1h\u00e1 adaptaci zem\u011bd\u011blstv\u00ed na nov\u00e9 podm\u00ednky a z\u00edsk\u00e1v\u00e1 st\u00e1le v\u011bt\u0161\u00ed v\u00fdznam, a kter\u00fd klade obzvl\u00e1\u0161\u0165 vysok\u00e9 po\u017eadavky na dostupnost i kvalitu relevantn\u00edch dat a z nich odvozen\u00fdch informac\u00ed, je precizn\u00ed zem\u011bd\u011blstv\u00ed. Precizn\u00ed zem\u011bd\u011blstv\u00ed se zam\u011b\u0159uje na prov\u00e1d\u011bn\u00ed p\u011bstebn\u00edch z\u00e1sah\u016f v prav\u00fd \u010das, na spr\u00e1vn\u00e9m m\u00edst\u011b a o pot\u0159ebn\u00e9 intenzit\u011b. Jedn\u00edm ze zdroj\u016f velk\u00fdch dat v zem\u011bd\u011blstv\u00ed mohou b\u00fdt pr\u00e1v\u011b senzory, kter\u00e9 jsou hlavn\u00edm t\u00e9matem t\u00e9to publikace. 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Zero hunger", "IoT", "dobr\u00e9 praxe", "sensor", "zem\u011bd\u011blstv\u00ed", "best practices", "senzor", "agriculture"], "contacts": [{"organization": "Kepka, Michal, Musil, Marek, Charv\u00e1t, Karel, K\u0159iv\u00e1nek, Zbyn\u011bk, Charv\u00e1t, Karel, \u010cern\u00fd, Luk\u00e1\u0161,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.7199982"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.7199982", "name": "item", "description": "10.5281/zenodo.7199982", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.7199982"}, {"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": "10.5281/zenodo.8089856", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:21:08Z", "type": "Journal Article", "created": "2020-08-03", "title": "Source localization in resource-constrained sensor networks based on deep learning", "description": "Source localization with a network of low-cost motes with limited processing, memory, and energy resources is considered in this paper. The state-of-the-art methods are mostly based on complicated signal processing approaches in which motes send their (processed) data to a fusion center (FC) wherein the source is localized. These methods are resource-demanding and mostly do not meet the limitations of motes and network. In this paper, we consider distributed detection where each mote performs a binary hypothesis test to detect locally the existence of a desired source and sends its (potentially erroneous) decision to FC during just one bit (1 indicates source existence and 0 otherwise). Hence, both processing and bandwidth constraints are met. We propose to use an artificial neural network (ANN) to correct erroneous local decisions. After error correction, the region affected by the source is specified by nodes with decision 1. Moreover, we propose to localize the source by deep learning in FC which converts the network of decisions 1 and 0 to a black and white image with white pixels in the locations of motes with decision 1. The proposed schemes of error correction by ANN (ECANN) and source localization with deep learning (SoLDeL) were evaluated in a fire detection application. We showed that SoLDeL performs appropriately and scales well into large networks. Moreover, the applicability of ECANN in delineation of farm management zones was illustrated.", "keywords": ["Artificial neural network (ANN)", "Internet of things (IoT)", "0202 electrical engineering", " electronic engineering", " information engineering", "Deep learning", "Target tracking", "Error type II", "02 engineering and technology", "Decentralized detection", "15. Life on land", "Wireless sensor networks (WSN)", "Error type I", "Source localization"]}, "links": [{"href": "https://link.springer.com/content/pdf/10.1007/s00521-020-05253-3.pdf"}, {"href": "https://doi.org/10.5281/zenodo.8089856"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Neural%20Computing%20and%20Applications", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.8089856", "name": "item", "description": "10.5281/zenodo.8089856", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.8089856"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-08-03T00:00:00Z"}}, {"id": "3133929027", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-08-24T16:23:23Z", "type": "Journal Article", "created": "2021-03-09", "title": "Cultivating Multidisciplinarity: Manufacturing and Sensing Challenges in Cultured Meat Production", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Meat cultivation via cellular agriculture holds great promise as a method for future food production. In theory, it is an ideal way of meat production, humane to the animals and sustainable for the environment, while keeping the same taste and nutritional values as traditional meat and having additional benefits such as controlled fat content and absence of antibiotics and hormones used in the traditional meat industry. However, in practice, there is still a number of challenges, such as those associated with the upscale of cultured meat (CM). CM food safety monitoring is a necessary factor when envisioning both the regulatory compliance and consumer acceptance. To achieve this, a multidisciplinary approach is necessary. This includes extensive development of the sensitive and specific analytical devices i.e., sensors to enable reliable food safety monitoring throughout the whole future food supply chain. In addition, advanced monitoring options can help in the further optimization of the meat cultivation which may reduce the currently still high costs of production. This review presents an overview of the sensor monitoring options for the most relevant parameters of importance for meat cultivation. Examples of the various types of sensors that can potentially be used in CM production are provided and the options for their integration into bioreactors, as well as suggestions on further improvements and more advanced integration approaches. In favor of the multidisciplinary approach, we also include an overview of the bioreactor types, scaffolding options as well as imaging techniques relevant for CM research. Furthermore, we briefly present the current status of the CM research and related regulation, societal aspects and challenges to its upscaling and commercialization.</p></article>", "keywords": ["2. Zero hunger", "0301 basic medicine", "0303 health sciences", "QH301-705.5", "Review", "15. Life on land", "sensors", "12. Responsible consumption", "monitoring", "bioreactor", "03 medical and health sciences", "cultivated meat", "13. Climate action", "cultured meat", "11. Sustainability", "cellular agriculture", "Biology (General)", "cultivated meat", " cultured meat", " sensors", " cellular agriculture", " modeling"]}, "links": [{"href": "https://www.mdpi.com/2079-7737/10/3/204/pdf"}, {"href": "https://doi.org/3133929027"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3133929027", "name": "item", "description": "3133929027", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3133929027"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-09T00:00:00Z"}}, {"id": "10.5937/zembilj2401049s", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:21:30Z", "type": "Journal Article", "created": "2024-08-31", "title": "Using a manual multispectral sensor and UAV in monitoring soybean development and productivity under rainfed conditions", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Soybean (Glycine max L.) is one of the leading cultivated crops globally. Although the region of Vojvodina is favorable for soybean production, the climate, especially high temperatures and uneven distribution of precipitation, represents a major limiting factor. The aim of this study is to investigate the correlation between soybean yield, water stress levels, and vegetation indices obtained using a handheld multispectral sensor and a drone under natural moisture conditions on a test plot in \u010cenej, Vojvodina. The results showed a significant correlation between vegetation indices with evapotranspiration, soil moisture changes, and soybean yield. During the intensive growth phase (V4), NDVI-UAV, EVI-UAV, and GNDVI-UAV showed highly significant positive correlations with yield (r=0.96**, r=0.94**, r=0.86*). During the flowering phase (R1), GNDVI-POM had significant positive correlations with all analyzed parameters, while GNDVI-UAV had significant correlations with evapotranspiration and soil moisture. During the pod formation phase (R3), GNDVI-UAV again showed a significant correlation with yield (r=0.86*), while NDVI-POM had significant correlations with evapotranspiration and soil moisture. During the pod filling phase (R4), EVI-UAV showed highly significant positive correlations with evapotranspiration, soil moisture, and yield (r=0.94**, r=0.96**, r=0.89**). These results are useful for the application of multispectral sensors in detecting soybean water availability and improving production under natural moisture conditions</p></article>", "keywords": ["0106 biological sciences", "2. Zero hunger", "multispectral sensor", "uav", "Botany", "04 agricultural and veterinary sciences", "15. Life on land", "Microbiology", "01 natural sciences", "QR1-502", "6. Clean water", "13. Climate action", "vegetation indices", "QK1-989", "0401 agriculture", " forestry", " and fisheries", "soybean", "soil moisture"]}, "links": [{"href": "https://doi.org/10.5937/zembilj2401049s"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Zemljiste%20i%20biljka", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5937/zembilj2401049s", "name": "item", "description": "10.5937/zembilj2401049s", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5937/zembilj2401049s"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.6085/aa/lndxxx_013mtbd012r00_20040330.50.3", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-08-24T16:21:38Z", "type": "Dataset", "title": "PISCO: Physical Oceanography: moored temperature data: East Anacapa Island, California, USA (LND)", "description": "This metadata record describes moored seawater temperature data collected at East Anacapa Island, California, USA, by PISCO. Measurements were collected using StowAway Tidbit Temperature Loggers (Onset Computer Corp. TBIC32+4+27) beginning 2004-03-30. The instrument depth was 012 meters, in an overall water depth of 013 meters (both relative to Mean Sea Level, MSL). The sampling interval was 2.0 minutes.", "keywords": ["EARTH SCIENCE: Oceans: Bathymetry/Seafloor Topography: Continental Margins", "continental shelf", "temperature", "Moored Temperature Data", "14. Life underwater", "PISCO", "United States of America", "California", "EARTH SCIENCE : Oceans : Ocean Temperature : Water Temperature", "Oceanographic Sensor Data", "seawater"], "contacts": [{"organization": "Partnership For Interdisciplinary Studies Of Coastal Oceans (PISCO), Washburn, Libe,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.6085/aa/lndxxx_013mtbd012r00_20040330.50.3"}, {"rel": "self", "type": "application/geo+json", "title": "10.6085/aa/lndxxx_013mtbd012r00_20040330.50.3", "name": "item", "description": "10.6085/aa/lndxxx_013mtbd012r00_20040330.50.3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.6085/aa/lndxxx_013mtbd012r00_20040330.50.3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2005-01-01T00:00:00Z"}}, {"id": "10.6085/aa/shb001_021mxti005r00_20051214.50.1", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-08-24T16:21:38Z", "type": "Dataset", "title": "PISCO: Physical Oceanography: moored temperature data: Sand Hill Bluff, California, USA (SHB001)", "description": "This metadata record describes moored seawater temperature data collected at Sand Hill Bluff, California, USA, by PISCO. Measurements were collected using a StowAway XTI Temperature Logger (Onset Computer Corp. XTI32-05+37) beginning 2005-12-14. The instrument depth was 005 meters, in an overall water depth of 21 meters (both relative to Mean Sea Level, MSL). The sampling interval was -14.2 minutes.", "keywords": ["EARTH SCIENCE: Oceans: Bathymetry/Seafloor Topography: Continental Margins", "continental shelf", "temperature", "Moored Temperature Data", "14. Life underwater", "PISCO", "United States of America", "California", "EARTH SCIENCE : Oceans : Ocean Temperature : Water Temperature", "Oceanographic Sensor Data", "seawater"], "contacts": [{"organization": "Partnership For Interdisciplinary Studies Of Coastal Oceans (PISCO), McManus, Margaret,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.6085/aa/shb001_021mxti005r00_20051214.50.1"}, {"rel": "self", "type": "application/geo+json", "title": "10.6085/aa/shb001_021mxti005r00_20051214.50.1", "name": "item", "description": "10.6085/aa/shb001_021mxti005r00_20051214.50.1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.6085/aa/shb001_021mxti005r00_20051214.50.1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2006-01-01T00:00:00Z"}}, {"id": "10044/1/97038", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-08-24T16:21:43Z", "type": "Journal Article", "created": "2022-04-01", "title": "Terahertz Metastructures for Noninvasive Biomedical Sensing and Characterization in Future Health Care [Bioelectromagnetics]", "description": "According to a recent report [1] from the Cancer Research Agency of the World Health Organization, cancer is a dominant cause of mortality worldwide, leading to 10 million deaths in 2020 alone. Diagnosing a patient from the early stages tremendously raises the chance of survival. Current clinical cancer detection approaches including X-ray, magnetic resonance imaging (MRI), and biomarker analysis not only fail to provide a precise border of the malignant tissue, especially in the early stages of cancer, but also can be invasive and lead to tissue damage. Recent progress in EM biosensor technologies has the potential to deliver a point-of-care diagnosis and surpass conventional methods regarding accuracy, time, and cost.", "keywords": ["Technology", "Organizations", "Science & Technology", "Sensors", "Tissue damage", "610", "Engineering", " Electrical & Electronic", "02 engineering and technology", "Cancer detection", "Costs", "Point of care", "ARRAYS", "3. Good health", "0906 Electrical and Electronic Engineering", "Engineering", "Magnetic resonance imaging", "CELLS", "Telecommunications", "PLASMONS", "1005 Communications Technologies", "0202 electrical engineering", " electronic engineering", " information engineering", "Electrical & Electronic", "Networking & Telecommunications"]}, "links": [{"href": "https://eprints.gla.ac.uk/263337/1/263337.pdf"}, {"href": "http://xplorestaging.ieee.org/ielx7/74/9747968/09748039.pdf?arnumber=9748039"}, {"href": "https://doi.org/10044/1/97038"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/IEEE%20Antennas%20and%20Propagation%20Magazine", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10044/1/97038", "name": "item", "description": "10044/1/97038", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10044/1/97038"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-01T00:00:00Z"}}, {"id": "10468/11549", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:21:58Z", "type": "Journal Article", "created": "2021-03-26", "title": "Advanced Solid State Nano-electrochemical Sensors and System for Agri 4.0 Applications", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Global food production needs to increase in order to meet the demands of an ever growing population. As resources are finite, the most feasible way to meet this demand is to minimize losses and improving efficiency. Regular monitoring of factors like animal health, soil and water quality for example, can ensure that the resources are being used to their maximum efficiency. Existing monitoring techniques however have limitations, such as portability, turnaround time and requirement for additional reagents. In this work, we explore the use of micro and nano scale electrode devices, for the development of electrochemical sensing platform to digitalize a wide range of applications within the Agri-food sector. With this platform, we demonstrate the direct electrochemical detection of pesticides, specifically clothianidin and imidacloprid with detection limits of 0.22 ng/mL and 2.14 ng/mL respectively, and nitrates with a detection limit of 0.2 \u00b5M. In addition, interdigitated electrode structures also enable an in-situ pH control technique to mitigate pH as an interference and modify analyte response. This technique is applied to the analysis of monochloramine, a common water disinfectant. Concerning biosensing, the sensors are modified with biomolecular probes for the detection of both bovine viral diarrhea virus particles and antibodies, over a range of 1 ng/mL to 10 \u00b5g/mL. Finally, a portable analogue front end electronic reader is developed to allow portable sensing, with control and readout undertaken using a smart phone application. Finally, the sensor chip platform is integrated with these electronics to provide a fully functional end-to-end smart sensor system compatible with emerging AgriFood digital decision support tools.</p></article>", "keywords": ["Ph control", "TP1-1185", "02 engineering and technology", "7. Clean energy", "01 natural sciences", "Article", "Electrochemical sensors", "Pesticides", "virus detection", "agriculture", "Virus detection", "2. Zero hunger", "Nitrates", "nitrates", "Chemical technology", "pH control", "electrochemical sensors", "Agriculture", "pesticides", "biosensors", "6. Clean water", "0104 chemical sciences", "Nanosensors", "Biosensors", "0210 nano-technology", "nanosensors"]}, "links": [{"href": "http://www.mdpi.com/1424-8220/21/9/3149/pdf"}, {"href": "https://doi.org/10468/11549"}, {"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": "10468/11549", "name": "item", "description": "10468/11549", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10468/11549"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-26T00:00:00Z"}}, {"id": "11585/910145", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:22:12Z", "type": "Journal Article", "created": "2021-11-09", "title": "The International Soil Moisture Network: serving  Earth system science for over a decade", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. In\u00a02009, the International Soil Moisture Network\u00a0(ISMN) was initiated as a community effort, funded by the European Space Agency, to serve as a centralised data hosting facility for globally available in situ soil moisture measurements (Dorigo et\u00a0al.,\u00a02011b, a). The ISMN brings together in situ soil moisture measurements collected and freely shared by a multitude of organisations, harmonises them in terms of units and sampling rates, applies advanced quality control, and stores them in a database. Users can freely retrieve the data from this database through an online web portal (https://ismn.earth/en/, last access: 28\u00a0October\u00a02021). Meanwhile, the ISMN has evolved into the primary in situ soil moisture reference database worldwide, as evidenced by more than 3000\u00a0active users and over 1000\u00a0scientific publications referencing the data sets provided by the network. As of July\u00a02021, the ISMN now contains the data of 71\u00a0networks and 2842\u00a0stations located all over the globe, with a time period spanning from\u00a01952 to the present. The number of networks and stations covered by the ISMN is still growing, and approximately 70\u2009% of the data sets contained in the database continue to be updated on a regular or irregular basis. The main scope of this paper is to inform readers about the evolution of the ISMN over the past decade, including a description of network and data set updates and quality control procedures. A comprehensive review of the existing literature making use of ISMN data is also provided in order to identify current limitations in functionality and data usage and to shape priorities for the next decade of operations of this unique community-based data repository.</p></article>", "keywords": ["[SDE] Environmental Sciences", "Technology", "Atmospheric Science", "550", "Soil Moisture", "TA Engineering (General). Civil engineering (General)", "02 engineering and technology", "Soil Moisture; ISMN; IMA_CAN1; swc; STEMS", "SMOS BRIGHTNESS TEMPERATURE", "Spatial variability", "Environmental technology. Sanitary engineering", "01 natural sciences", "Agency (philosophy)", "remote sensing", "Antecedent wetness conditions", "Engineering", "Geography. Anthropology. Recreation", "GE1-350", "Geosciences", " Multidisciplinary", "TD1-1066", "Smos brightness temperature", "Heihe river-basin", "T", "Soil Water Retention", "Geology", "Leaf-area index", "004", "FOS: Philosophy", " ethics and religion", "Programming language", "HEIHE RIVER-BASIN", "Earth and Planetary Sciences", "Physical Sciences", "Water Resources", "name=Water Science and Technology", "/dk/atira/pure/subjectarea/asjc/1900/1901", "Medicine", "0406 Physical Geography and Environmental Geoscience", "name=Earth and Planetary Sciences (miscellaneous)", "3709 Physical geography and environmental geoscience", "Mechanics and Transport in Unsaturated Soils", "Environmental Engineering", "SPATIAL VARIABILITY", "IN-SITU MEASUREMENTS", "0207 environmental engineering", "Epistemology", "0905 Civil Engineering", "Environmental science", "G", "Database", "LAND DATA ASSIMILATION", "Soil Moisture; network", "WIRELESS SENSOR NETWORK", "Arctic Permafrost Dynamics and Climate Change", "Scope (computer science)", "Land data assimilation", "Civil and Structural Engineering", "0105 earth and related environmental sciences", "info:eu-repo/classification/ddc/550", "Science & Technology", "3707 Hydrology", "Consecutive dry days", "LEAF-AREA INDEX", "in situ", "FOS: Environmental engineering", "AMSR-E", "15. Life on land", "Remote Sensing of Soil Moisture", "ANTECEDENT WETNESS CONDITIONS", "Globe", "Computer science", "Environmental sciences", "QE Geology", "0907 Environmental Engineering", "Philosophy", "Ophthalmology", "In-situ measurements", "13. Climate action", "ITC-ISI-JOURNAL-ARTICLE", "global scale", "Environmental Science", "G70.212-70.215 Geographic information system", "4013 Geomatic engineering", "soil moisture", "CONSECUTIVE DRY DAYS", "ITC-GOLD", "/dk/atira/pure/subjectarea/asjc/2300/2312", "Wireless sensor network"]}, "links": [{"href": "https://iris.polito.it/bitstream/11583/2998914/1/prod_447100-doc_161016.pdf"}, {"href": "https://iris.polito.it/bitstream/11583/2998914/2/prod_447100-doc_178365.pdf"}, {"href": "https://cris.unibo.it/bitstream/11585/910145/1/Dourigo_etal_2021.pdf"}, {"href": "https://doi.org/11585/910145"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11585/910145", "name": "item", "description": "11585/910145", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11585/910145"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-09T00:00:00Z"}}, {"id": "10261/349896", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-08-24T16:21:51Z", "type": "Report", "title": "PROBEFIELD: balance r\u00e1pido de C org\u00e1nico del suelo", "description": "Open AccessEl Proyecto ProbeField, \u2018A novel protocol for robust in field monitoring of carbon stock and soil fertility based on proximal sensors and existing soil spectral libraries\u2019, estudia el uso de t\u00e9cnicas de an\u00e1lisis de proximidad (que usan sensores port\u00e1tiles de medici\u00f3n r\u00e1pida y simple) para predecir propiedades de suelos agr\u00edcolas que son determinadas habitualmente mediante t\u00e9cnicas de laboratorio convencionales m\u00e1s lentas y laboriosas. Estos sensores proximales tienen el potencial para aumentar sustancialmente el n\u00famero de muestras analizadas y permitir el an\u00e1lisis in situ. El enfoque principal es en espectroscop\u00eda visible y de infrarrojo cercano (Vis-NIR) para la predicci\u00f3n del contenido de materia org\u00e1nica del suelo (SOM) aunque la evaluaci\u00f3n se extiende a otras t\u00e9cnicas y propiedades. Un objetivo es superar la interferencia que en el campo producen la variabilidad de la humedad y la estructura de los suelos, en contraste con las predicciones obtenidas mediante las t\u00e9cnicas espectrosc\u00f3picas realizadas en laboratorio con muestras preparadas. ProbeField probar\u00e1 y sugerir\u00e1 pruebas f\u00edsicas y procedimiento matem\u00e1ticos para gestionar estos problemas. Se elaborar\u00e1 un protocolo de mejores pr\u00e1cticas susceptible de ser aplicado a una amplia gama de suelos, se analizar\u00e1n diversas propiedades y se realizar\u00e1 un mapeo 3D para las reservas de carbono del suelo.", "keywords": ["Proximal soil sensors", "Soil spectroscopy", "FRX", "MIR", "NIR", "Soil properties", "Soil fertility", "SOC stocks", "In-situ analysis", "Field analysis"], "contacts": [{"organization": "L\u00f3pez N\u00fa\u00f1ez, Rafael, Cobos, Joaqu\u00edn, Soriguer-Escofet, Ram\u00f3n, Almendros-Mart\u00edn Gonzalo, Cayuela, Jos\u00e9 Antonio,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10261/349896"}, {"rel": "self", "type": "application/geo+json", "title": "10261/349896", "name": "item", "description": "10261/349896", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/349896"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10261/362619", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-08-24T16:21:52Z", "type": "Report", "title": "LA PREDICCION DEL CONTENIDO EN CARBONO EN SUELOS MEDIANTE ANALISIS QUIMIOMETRICO DE ESPECTROS INFRARROJOS", "description": "Open AccessNo", "keywords": ["Sensores proximales", "PLS", "EJP Soil; MIR; ProbeField; soil organic carbon; soil organic matter", "Espectroscop\u00eda MIR", "Regresi\u00f3n de m\u00ednimos cuadrados parciales"], "contacts": [{"organization": "L\u00f3pez-N\u00fa\u00f1eZ, Rafael, Cobos-Sabate, Joaqu\u00edn, Cayuela-S\u00e1nchez, Jose Antonio, Almendros-Mart\u00edn, Gonzalo,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10261/362619"}, {"rel": "self", "type": "application/geo+json", "title": "10261/362619", "name": "item", "description": "10261/362619", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/362619"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10451/59993", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:21:58Z", "type": "Journal Article", "created": "2022-05-03", "title": "Spectra Fusion of Mid-Infrared (MIR) and X-ray Fluorescence (XRF) Spectroscopy for Estimation of Selected Soil Fertility Attributes", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Previous works indicate that data fusion, compared to single data modelling can improve the assessment of soil attributes using spectroscopy. In this work, two different kinds of proximal soil sensing techniques i.e., mid-infrared (MIR) and X-ray fluorescence (XRF) spectroscopy were evaluated, for assessment of seven fertility attributes. These soil attributes include pH, organic carbon (OC), phosphorous (P), potassium (K), magnesium (Mg), calcium (Ca) and moisture contents (MC). Three kinds of spectra fusion (SF) (spectra concatenation) approaches of MIR and XRF spectra were compared, namely, spectra fusion-Partial least square (SF-PLS), spectra fusion-Sequential Orthogonalized Partial least square (SF-SOPLS) and spectra fusion-Variable Importance Projection-Sequential Orthogonalized Partial least square (SF-VIP-SOPLS). Furthermore, the performance of SF models was compared with the developed single sensor model (based on individual spectra of MIR and XRF). Compared with the results obtained from single sensor model, SF models showed improvement in the prediction performance for all studied attributes, except for OC, Mg, and K prediction. More specifically, the highest improvement was observed with SF-SOPLS model for pH [R2p = 0.90, root mean square error prediction (RMSEP) = 0.15, residual prediction deviation (RPD) = 3.30, and ratio of performance inter-quantile (RPIQ) = 3.59], successively followed by P (R2p = 0.91, RMSEP = 4.45 mg/100 g, RPD = 3.53, and RPIQ = 4.90), Ca (R2p = 0.92, RMSEP = 177.11 mg/100 g, RPD = 3.66, and RPIQ = 3.22) and MC (R2p = 0.80, RMSEP = 1.91%, RPD = 2.31, RPIQ = 2.62). Overall the study concluded that SF approach with SOPLS attained better performance over the traditional model developed with the single sensor spectra, hence, SF is recommended as the best SF method for improving the prediction accuracy of studied soil attributes. Moreover, the multi-sensor spectra fusion approach is not limited for only MIR and XRF data but in general can be extended for complementary information fusion in order to improve the model performance in precision agriculture (PA) applications.</p></article>", "keywords": ["Spectroscopy", " Near-Infrared", "soil fertility", "Chemical technology", "X-Rays", "sequential orthogonalized partial least square (SOPLS)", "Agriculture", "TP1-1185", "04 agricultural and veterinary sciences", "precision agriculture (PA)", "Article", "Carbon", "6. Clean water", "Soil", "spectra fusion (SF)", "0401 agriculture", " forestry", " and fisheries", "multi-sensor", "Least-Squares Analysis", "precision agriculture (PA); multi-sensor; spectra fusion (SF); sequential orthogonalized partial least square (SOPLS); soil fertility"]}, "links": [{"href": "http://www.mdpi.com/1424-8220/22/9/3459/pdf"}, {"href": "https://repositorio.ulisboa.pt/bitstream/10451/59993/1/Kandpal%20et%20al%202022.pdf"}, {"href": "https://www.mdpi.com/1424-8220/22/9/3459/pdf"}, {"href": "https://doi.org/10451/59993"}, {"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": "10451/59993", "name": "item", "description": "10451/59993", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10451/59993"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-01T00:00:00Z"}}, {"id": "10807/190102", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:22:03Z", "type": "Journal Article", "created": "2021-09-10", "title": "Exploring the performance of a functionalized CNT-based sensor array for breathomics through clustering and classification algorithms: from gas sensing of selective biomarkers to discrimination of chronic obstructive pulmonary disease", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Extensive application of clustering and classification algorithms shows the potential of a CNT-based sensor array in breathomics.</p></article>", "keywords": ["electronic nose", "Linear discriminant analysis", "Chemistry", " Multidisciplinary", "Principal component analysis", "02 engineering and technology", "VOLATILE ORGANIC-COMPOUNDS", "sensors", "Supported Vectror Machine", "01 natural sciences", "nanotubes", "E-NOSE", "breathomics", "THIN-FILMS", "SWCNTs", "RANDOM NETWORKS", "COPD", "ta318", "e-nose", "ta215", "WALLED CARBON NANOTUBES", "Science & Technology", "Breath analysis", "SWCNT SENSOR", "34 Chemical sciences", "Ammonia; Biomarkers; Carbon nanotubes; Classification (of information); Clustering algorithms; Molecules; Nitrogen oxides; Principal component analysis; Sulfur compounds; Support vector machines", "0104 chemical sciences", "3. Good health", "Chemistry", "ROOM-TEMPERATURE", "AMMONIA SENSOR", "Physical Sciences", "NO2 DETECTION", "03 Chemical Sciences", "0210 nano-technology", "RESISTIVE SENSORS"]}, "links": [{"href": "https://iris.cnr.it/bitstream/20.500.14243/536855/1/RSC%20Adv._2021.pdf"}, {"href": "https://boa.unimib.it/bitstream/10281/517427/2/d1ra03337a.pdf%3b"}, {"href": "https://publicatt.unicatt.it/bitstream/10807/190102/1/d1ra03337a.pdf"}, {"href": "http://pubs.rsc.org/en/content/articlepdf/2021/RA/D1RA03337A"}, {"href": "https://doi.org/10807/190102"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/RSC%20Advances", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10807/190102", "name": "item", "description": "10807/190102", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10807/190102"}, {"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": "11390/1215619", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:22:09Z", "type": "Journal Article", "created": "2021-10-28", "title": "Radial Oxygen Loss from Plant Roots\u2014Methods", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>In flooded soils, an efficient internal aeration system is essential for root growth and plant survival. Roots of many wetland species form barriers to restrict radial O2 loss (ROL) to the rhizosphere. The formation of such barriers greatly enhances longitudinal O2 diffusion from basal parts towards the root tip, and the barrier also impedes the entry of phytotoxic compounds produced in flooded soils into the root. Nevertheless, ROL from roots is an important source of O2 for rhizosphere oxygenation and the oxidation of toxic compounds. In this paper, we review the methodological aspects for the most widely used techniques for the qualitative visualization and quantitative determination of ROL from roots. Detailed methodological approaches, practical set-ups and examples of ROL from roots with or without barriers to ROL are included. This paper provides practical knowledge relevant to several disciplines, including plant\u2013soil interactions, biogeochemistry and eco-physiological aspects of roots and soil biota.</p></article>", "keywords": ["0301 basic medicine", "0303 health sciences", "Botany", "microelectrodes", "root-sleeving electrodes", "planar optodes", "Review", "15. Life on land", "microsensors", "6. Clean water", "methylene blue staining", "03 medical and health sciences", "QK1-989", "Methylene blue staining; Microelectrodes; Microsensors; Planar optodes; Root-sleeving electrodes"]}, "links": [{"href": "https://air.uniud.it/bitstream/11390/1215619/1/plants-10-02322.pdf"}, {"href": "https://doi.org/11390/1215619"}, {"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": "11390/1215619", "name": "item", "description": "11390/1215619", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11390/1215619"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-10-28T00:00:00Z"}}, {"id": "158864ac-e232-4ce5-9ddc-5f1f8481f89f", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[11.46, 51.51], [11.46, 54.03], [15.24, 54.03], [15.24, 51.51], [11.46, 51.51]]]}, "properties": {"license": "CC BY", "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non-scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \u201cData reused from the BonaRes Data Centre www.bonares.de.\u201d Although every care has been taken in preparing and testing the soil profile data, the author and BonaRes Data Centre cannot guarantee that the data are correct; neither does the author and BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. 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HNEE", "position": null, "roles": ["dataCollector"], "phones": [{"value": null}], "emails": [{"value": "golo-philipp@t-online.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Kathrin L\u00fcck", "organization": "Leibniz Centre for Agricultural Landscape Research - ZALF", "position": null, "roles": ["projectMember"], "phones": [{"value": null}], "emails": [{"value": "katrin.lueck@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Eric B\u00f6necke", "organization": "Leibniz Institute of Vegetable and Ornamental Crops - IGZ", "position": null, "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "boenecke@igzev.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": "https://orcid.org", "protocol": null, "protocol_url": "", "name": "0000-0001-9563-8186", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Kathrin L\u00fcck", "organization": "Leibniz Centre for Agricultural Landscape Research - 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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": "20.500.14243/459659", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-08-24T16:22:40Z", "type": "Journal Article", "created": "2023-05-17", "title": "Comparison of dust optical depth from multi-sensor products and MONARCH (Multiscale Online Non-hydrostatic AtmospheRe CHemistry) dust reanalysis over North Africa, the Middle East, and Europe", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Aerosol reanalysis datasets are model-based, observationally constrained, continuous 3D aerosol fields with a relatively high temporal frequency that can be used to assess aerosol variations and trends, climate effects, and impacts on socioeconomic sectors, such as health. Here we compare and assess the recently published MONARCH (Multiscale Online Non-hydrostatic AtmospheRe CHemistry) high-resolution regional desert dust reanalysis over northern Africa, the Middle East, and Europe (NAMEE) with a combination of ground-based observations and space-based dust retrievals and products. In particular, we compare the total and coarse dust optical depth (DOD) from the new reanalysis with DOD products derived from MODIS (MODerate resolution Imaging Spectroradiometer), MISR (Multi-angle Imaging SpectroRadiometer), and IASI (Infrared Atmospheric Sounding Interferometer) spaceborne instruments. Despite the larger uncertainties, satellite-based datasets provide a better geographical coverage than ground-based observations, and the use of different retrievals and products allows at least partially overcoming some single-product weaknesses in the comparison. Nevertheless, limitations and uncertainties due to the type of sensor, its operating principle, its sensitivity, its temporal and spatial resolution, and the methodology for retrieving or further deriving dust products are factors that bias the reanalysis assessment. We, therefore, also use ground-based DOD observations provided by 238 stations of the AERONET (AErosol RObotic NETwork) located within the NAMEE region as a reference evaluation dataset. In particular, prior to the reanalysis assessment, the satellite datasets were evaluated against AERONET, showing moderate underestimations in the vicinities of dust sources and downwind regions, whereas small or significant overestimations, depending on the dataset, can be found in the remote regions. Taking these results into consideration, the MONARCH reanalysis assessment shows that total and coarse-DOD simulations are consistent with satellite- and ground-based data, qualitatively capturing the major dust sources in the area in addition to the dust transport patterns. Moreover, the MONARCH reanalysis reproduces the seasonal dust cycle, identifying the increased dust activity that occurred in the NAMEE region during spring and summer. The quantitative comparison between the MONARCH reanalysis DOD and satellite multi-sensor products shows that the reanalysis tends to slightly overestimate the desert dust that is emitted from the source regions and underestimate the transported dust over the outflow regions, implying that the model's removal of dust particles from the atmosphere, through deposition processes, is too effective. More specifically, small positive biases are found over the Sahara desert (0.04) and negative biases over the Atlantic Ocean and the Arabian Sea (\u22120.04), which constitute the main pathways of the long-range dust transport. Considering the DOD values recorded on average there, such discrepancies can be considered low, as the low relative bias in the Sahara desert (&lt;\u200950\u2009%) and over the adjacent maritime regions (&lt;\u2009100\u2009%) certifies. Similarly, over areas with intense dust activity, the linear correlation coefficient between the MONARCH reanalysis simulations and the ensemble of the satellite products is significantly high for both total and coarse DOD, reaching 0.8 over the Middle East, the Atlantic Ocean, and the Arabian Sea and exceeding it over the African continent. Moreover, the low relative biases and high correlations are associated with regions for which large numbers of observations are available, thus allowing for robust reanalysis assessment.</p></article>", "keywords": ["[SDE] Environmental Sciences", "aerosol", "temporal analysis", "Physics", "QC1-999", "North Africa", "01 natural sciences", "observational method", "optical depth", "Europe", "Chemistry", "Middle East", "13. Climate action", "satellite sensor", "dust", "QD1-999", "ground-based measurement", "comparative study", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://iris.cnr.it/bitstream/20.500.14243/459659/1/prod_487259-doc_202407.pdf"}, {"href": "https://acp.copernicus.org/articles/23/5487/2023/acp-23-5487-2023.pdf"}, {"href": "https://doi.org/20.500.14243/459659"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.14243/459659", "name": "item", "description": "20.500.14243/459659", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.14243/459659"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-05-17T00:00:00Z"}}, {"id": "21.15107/rcub_fiver_5336", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-08-24T16:22:45Z", "type": "Report", "title": "Innovative electrochemical detection of genetically modified organisms amplified via LAMP method for agricultural applications", "description": "The increasing diversity and complexity of genetically modified organisms (GMOs) create obstacles in their detection, impacting food traceability, safety, and monitoring. Current research indicates that GM crop technology may pose risks to human health and the environment. This study focuses on developing a LAMP-based GMO detection device implementing electrochemical methods. Electrochemical DNA sensor was used to detect LAMP products that are complementary to single-stranded DNA probes using methylene blue as a redox indicator through the hybridization process. The probes were attached to the gold electrodes functionalized by gold nanoparticles, and 2D nanomaterials (such as MoS2 or MXenes). The electrochemical methods, such as alternating current voltammetry, square wave voltammetry, and differential pulse voltammetry were employed in testing the electrochemical detection response.", "keywords": ["DNA sensors", "GMO", "LAMP", "GMO detection", "DNA", "GMO detection signal"], "contacts": [{"organization": "Kupre\u0161anin, Ana, Pavlovic, Zoran, \u0160a\u0161i\u0107 Zori\u0107, Ljiljana, Pavlovi\u0107, Marija, Djisalov, Mila, Kne\u017ei\u0107, Teodora, Janjusevic, Ljiljana, Peri\u0107, Milinko, Kanas, Nikola, Anoj\u010di\u0107, Jasmina, Gadjanski, Ivana,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/21.15107/rcub_fiver_5336"}, {"rel": "self", "type": "application/geo+json", "title": "21.15107/rcub_fiver_5336", "name": "item", "description": "21.15107/rcub_fiver_5336", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/21.15107/rcub_fiver_5336"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "2164696521", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-08-24T16:22:49Z", "type": "Journal Article", "created": "2008-10-25", "title": "Solid State pH Sensor Based on Light Emitting Diodes (LED) As Detector Platform", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>A low-power, high sensitivity, very low-cost light emitting diode (LED)-baseddevice developed for low-cost sensor networks was modified with bromocresol greenmembrane to work as a solid-state pH sensor. In this approach, a reverse-biased LEDfunctioning as a photodiode is coupled with a second LED configured in conventionalemission mode. A simple timer circuit measures how long (in microsecond) it takes for thephotocurrent generated on the detector LED to discharge its capacitance from logic 1 ( 5 V)to logic 0 ( 1.7 V). The entire instrument provides an inherently digital output of lightintensity measurements for a few cents. A light dependent resistor (LDR) modified withsimilar sensor membrane was also used as a comparison method. Both the LED sensor andthe LDR sensor responded to various pH buffer solutions in a similar way to obtainsigmoidal curves expected of the dye. The pKa value obtained for the sensors was found toagree with the literature value.</p></article>", "keywords": ["670", "ph", "led", "TP1-1185", "02 engineering and technology", "7. Clean energy", "01 natural sciences", "solid-state pH sensor", "state", "platform", "Engineering", "sensor", "Physical Sciences and Mathematics", "emitting", "detector", "Chemical technology", "diodes", "colorimetric sensor", "pH sensing", "light dependent resistor.", "light emitting diode", "0104 chemical sciences", "optical sensing", "solid", "light", "0210 nano-technology"]}, "links": [{"href": "http://www.mdpi.com/1424-8220/6/8/848/pdf"}, {"href": "https://doi.org/2164696521"}, {"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": "2164696521", "name": "item", "description": "2164696521", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2164696521"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2006-08-23T00:00:00Z"}}, {"id": "2268/225186", "type": "Feature", "geometry": null, "properties": {"license": "Restricted", "updated": "2026-08-24T16:22:51Z", "type": "Other", "title": "Development of a sensor for monitoring nitrate in groundwater", "description": "RestrictedThe main objective of the present research is the development of a method for the continuous measurement of nitrate in water, thus enabling the detection of nitrate emitting sources and the prevention of extended contamination in groundwater. In this study we examine a class of compounds, called ionophores, which have unique capabilities and can enhance the selectivity and performance of nitrate sensors with respect to the available ones. The research presented is focused on nitrate monitoring via optical sensing. The sensing mechanism used is based on the combination of a suitable ionophore and a chromoionophore, incorporated into a polymer matrix.", "keywords": ["Ing\u00e9nierie chimique", "Chemical engineering", "sensor", "nitrate monitoring", "groundwater", "6. Clean water", "Engineering", " computing & technology", "Ing\u00e9nierie", " informatique & technologie"], "contacts": [{"organization": "Damala, Polyxeni, Heinrichs, Beno\u00eet, Brouy\u00e8re, Serge, Piront, Laurent,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/2268/225186"}, {"rel": "self", "type": "application/geo+json", "title": "2268/225186", "name": "item", "description": "2268/225186", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2268/225186"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-06-12T00:00:00Z"}}, {"id": "2592687333", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-08-24T16:22:56Z", "type": "Journal Article", "created": "2017-03-09", "title": "Humidity Sensing Properties of Paper Substrates and Their Passivation with ZnO Nanoparticles for Sensor Applications", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>In this paper, we investigated the effect of humidity on paper substrates and propose a simple and low-cost method for their passivation using ZnO nanoparticles. To this end, we built paper-based microdevices based on an interdigitated electrode (IDE) configuration by means of a mask-less laser patterning method on simple commercial printing papers. Initial resistive measurements indicate that a paper substrate with a porous surface can be used as a cost-effective, sensitive and disposable humidity sensor in the 20% to 70% relative humidity (RH) range. Successive spin-coated layers of ZnO nanoparticles then, control the effect of humidity. Using this approach, the sensors become passive to relative humidity changes, paving the way to the development of ZnO-based gas sensors on paper substrates insensitive to humidity.</p></article>", "keywords": ["paper substrate", "disposable sensors", "ZnO nanoparticles", "Chemical technology", "TP1-1185", "02 engineering and technology", "0210 nano-technology", "humidity passivation; paper substrate; ZnO nanoparticles; disposable sensors", "Article", "humidity passivation"]}, "links": [{"href": "http://www.mdpi.com/1424-8220/17/3/516/pdf"}, {"href": "https://doi.org/2592687333"}, {"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": "2592687333", "name": "item", "description": "2592687333", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2592687333"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-03-04T00:00:00Z"}}, {"id": "2607489812", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-08-24T16:22:57Z", "type": "Journal Article", "created": "2017-04-18", "title": "Microfluidic EBG Sensor Based on Phase-Shift Method Realized Using 3D Printing Technology", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>In this article, we propose a novel microfluidic microstrip electromagnetic band gap (EBG) sensor realized using cost-effective 3D printing technology. Microstrip sensor allows monitoring of the fluid properties flowing in the microchannel embedded between the microstrip line and ground plane. The sensor\u2019s operating principle is based on the phase-shift method, which allows the characterization at a single operating frequency of 6 GHz. The defected electromagnetic band gap (EBG) structure is realized as a pattern in the microstrip ground plane to improve sensor sensitivity. The designed microfluidic channel is fabricated using a fused deposition modelling (FDM) 3D printing process without additional supporting layers, while the conductive layers are realized using sticky aluminium tape. The measurement results show that the change of permittivity of the fluid in the microfluidic channel from 1 to 80 results in the phase-shift difference of almost 90\u00b0. The potential application is demonstrated through the implementation of a proposed sensor for the detection of toluene concentration in toluene\u2013methanol mixture where various concentrations of toluene were analysed.</p></article>", "keywords": ["fused deposition modelling (FDM)", "electromagnetic band gap (EBG)", "Chemical technology", "microfluidics", "phase-shift method", "0202 electrical engineering", " electronic engineering", " information engineering", "microstrip sensor; electromagnetic band gap (EBG); microfluidics; 3D printing; fused deposition modelling (FDM); phase-shift method", "microstrip sensor", "3D printing", "TP1-1185", "02 engineering and technology", "Article"]}, "links": [{"href": "http://www.mdpi.com/1424-8220/17/4/892/pdf"}, {"href": "https://doi.org/2607489812"}, {"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": "2607489812", "name": "item", "description": "2607489812", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2607489812"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-04-18T00:00:00Z"}}, {"id": "2742380607", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:22:58Z", "type": "Journal Article", "created": "2017-08-11", "title": "Fabrication and Characterization of Flexible and Miniaturized Humidity Sensors Using Screen-Printed TiO2 Nanoparticles as Sensitive Layer", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>This paper describes the fabrication and the characterization of an original example of a miniaturized resistive-type humidity sensor, printed on flexible substrate in a large-scale manner. The fabrication process involves laser ablation for the design of interdigitated electrodes on PET (Poly-Ethylene Terephthalate) substrate and a screen-printing process for the deposition of the sensitive material, which is based on TiO2 nanoparticles. The laser ablation process was carefully optimized to obtain micro-scale and well-resolved electrodes on PET substrate. A functional paste based on cellulose was prepared in order to allow the precise screen-printing of the TiO2 nanoparticles as sensing material on the top of the electrodes. The current against voltage (I\u2013V) characteristic of the sensor showed good linearity and potential for low-power operation. The results of a humidity-sensing investigation and mechanical testing showed that the fabricated miniaturized sensors have excellent mechanical stability, sensing characteristics, good repeatability, and relatively fast response/recovery times operating at room temperature.</p></article>", "keywords": ["flexible substrate", "Chemical technology", "laser ablation", "humidity sensors", "TP1-1185", "02 engineering and technology", "0210 nano-technology", "TiO2 nanoparticles", "screen-printing", "humidity sensors; flexible substrate; TiO<sub>2</sub> nanoparticles; screen-printing; laser ablation", "Article"]}, "links": [{"href": "http://www.mdpi.com/1424-8220/17/8/1854/pdf"}, {"href": "https://doi.org/2742380607"}, {"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": "2742380607", "name": "item", "description": "2742380607", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2742380607"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-08-11T00:00:00Z"}}, {"id": "2768681626", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-08-24T16:22:59Z", "type": "Journal Article", "created": "2017-11-24", "title": "A Microwave Microfluidic Sensor Based on a Dual-Mode Resonator for Dual-Sensing Applications", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>In this paper, we propose a novel microwave microfluidic sensor with dual-sensing capability. The sensor is based on a dual-mode resonator that consists of a folded microstrip line loaded with interdigital lines and a stub at the plane of symmetry. Due to the specific configuration, the resonator exhibits two entirely independent resonant modes, which allows simultaneous sensing of two fluids using a resonance shift method. The sensor is designed in a multilayer configuration with the proposed resonator and two separated microfluidic channels\u2014one intertwined with the interdigital lines and the other positioned below the stub. The circuit has been fabricated using low-temperature co-fired ceramics technology and its performance was verified through the measurement of its responses for different fluids in the microfluidic channels. The results confirm the dual-sensing capability with zero mutual influence as well as good overall performance. Besides an excellent potential for dual-sensing applications, the proposed sensor is a good candidate for application in mixing fluids and cell counting.</p></article>", "keywords": ["dual-mode resonator", "Chemical technology", "microwave sensor", "microfluidics", "TP1-1185", "02 engineering and technology", "low-temperature co-fired ceramics", "7. Clean energy", "01 natural sciences", "Article", "0104 chemical sciences", "microwave sensor; dual-mode resonator; microstrip; microfluidics; low-temperature co-fired ceramics", "0202 electrical engineering", " electronic engineering", " information engineering", "microstrip"]}, "links": [{"href": "http://www.mdpi.com/1424-8220/17/12/2713/pdf"}, {"href": "https://www.mdpi.com/1424-8220/17/12/2713/pdf"}, {"href": "https://doi.org/2768681626"}, {"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": "2768681626", "name": "item", "description": "2768681626", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2768681626"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-11-24T00:00:00Z"}}, {"id": "2794079422", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-08-24T16:23:00Z", "type": "Journal Article", "created": "2018-01-22", "title": "Multiple Fano-Like MIM Plasmonic Structure Based on Triangular Resonator for Refractive Index Sensing", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>In this paper, we present a Fano metal-insulator-metal (MIM) structure based on an isosceles triangular cavity resonator for refractive index sensing applications. Due to the specific feeding scheme and asymmetry introduced in the triangular cavity, the resonator exhibits four sharp Fano-like resonances. The behavior of the structure is analyzed in detail and its sensing capabilities demonstrated through the responses for various refractive indices. The results show that the sensor has very good sensitivity and maximal figure of merit (FOM) value of 3.2 \u00d7 105. In comparison to other similar sensors, the proposed one has comparable sensitivity and significantly higher FOM, which clearly demonstrates its high sensing potential.</p></article>", "keywords": ["Plasmonic sensor", "metal-insulator-metal", "Metal-insulator-metal", "triangular cavity", "Chemical technology", "0103 physical sciences", "Fano resonance; metal-insulator-metal; plasmonic sensor; triangular cavity", "Fano resonance", "TP1-1185", "Triangular cavity", "plasmonic sensor", "01 natural sciences", "Article"]}, "links": [{"href": "http://www.mdpi.com/1424-8220/18/1/287/pdf"}, {"href": "https://www.mdpi.com/1424-8220/18/1/287/pdf"}, {"href": "https://doi.org/2794079422"}, {"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": "2794079422", "name": "item", "description": "2794079422", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2794079422"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-19T00:00:00Z"}}, {"id": "2974072884", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:23:08Z", "type": "Journal Article", "created": "2019-09-20", "title": "Graphene-Based Sensing Platform for On-Chip Ochratoxin A Detection", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>In this work, we report an on-chip aptasensor for ochratoxin A (OTA) toxin detection that is based on a graphene field-effect transistor (GFET). Graphene-based devices are fabricated via large-scale technology, allowing for upscaling the sensor fabrication and lowering the device cost. The sensor assembly was performed through covalent bonding of graphene\u2019s surface with an aptamer specifically sensitive towards OTA. The results demonstrate fast (within 5 min) response to OTA exposure with a linear range of detection between 4 ng/mL and 10 pg/mL, with a detection limit of 4 pg/mL. The regeneration time constant of the sensor was found to be rather small, only 5.6 s, meaning fast sensor regeneration for multiple usages. The high reproducibility of the sensing response was demonstrated via using several recycling procedures as well as various GFETs. The applicability of the aptasensor to real samples was demonstrated for spiked red wine samples with recovery of about 105% for a 100 pM OTA concentration; the selectivity of the sensor was also confirmed via addition of another toxin, zearalenone. The developed platform opens the way for multiplex sensing of different toxins using an on-chip array of graphene sensors.</p></article>", "keywords": ["Communication", "graphene", "R", "aptamer", "Biosensing Techniques", "02 engineering and technology", "Aptamers", " Nucleotide", "Ochratoxins", "01 natural sciences", "7. Clean energy", "0104 chemical sciences", "12. Responsible consumption", "on-chip", "sensor", "Limit of Detection", "transistor", "Medicine", "Graphite", "0210 nano-technology", "ochratoxin A"]}, "links": [{"href": "https://www.mdpi.com/2072-6651/11/10/550/pdf"}, {"href": "https://doi.org/2974072884"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Toxins", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2974072884", "name": "item", "description": "2974072884", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2974072884"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-09-20T00:00:00Z"}}, {"id": "2987379657", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:23:08Z", "type": "Journal Article", "created": "2019-11-07", "title": "Deriving Field Scale Soil Moisture from Satellite Observations and Ground Measurements in a Hilly Agricultural Region", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Agricultural and hydrological applications could greatly benefit from soil moisture (SM) information at sub-field resolution and (sub-) daily revisit time. However, current operational satellite missions provide soil moisture information at either lower spatial or temporal resolution. Here, we downscale coarse resolution (25\u201336 km) satellite SM products with quasi-daily resolution to the field scale (30 m) using the random forest (RF) machine learning algorithm. RF models are trained with remotely sensed SM and ancillary variables on soil texture, topography, and vegetation cover against SM measured in the field. The approach is developed and tested in an agricultural catchment equipped with a high-density network of low-cost SM sensors. Our results show a strong consistency between the downscaled and observed SM spatio-temporal patterns. We found that topography has higher predictive power for downscaling than soil texture, due to the hilly landscape of the study area. Furthermore, including a proxy of vegetation cover results in considerable improvements of the performance. Increasing the training set size leads to significant gain in the model skill and expanding the training set is likely to further enhance the accuracy. When only limited in-situ measurements are available as training data, increasing the number of sensor locations should be favored over expanding the duration of the measurements for improved downscaling performance. In this regard, we show the potential of low-cost sensors as a practical and cost-effective solution for gathering the necessary observations. Overall, our findings highlight the suitability of using ground measurements in conjunction with machine learning to derive high spatially resolved SM maps from coarse-scale satellite products.</p></article>", "keywords": ["advanced scatterometer (ascat)", "2. Zero hunger", "soil moisture; downscaling; advanced scatterometer (ASCAT); soil moisture active passive (SMAP); random forest; low-cost sensor", "soil moisture active passive (smap)", "Science", "Q", "downscaling", "soil moisture", "15. Life on land", "01 natural sciences", "random forest", "low-cost sensor", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/11/22/2596/pdf"}, {"href": "https://www.mdpi.com/2072-4292/11/22/2596/pdf"}, {"href": "https://doi.org/2987379657"}, {"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": "2987379657", "name": "item", "description": "2987379657", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2987379657"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-11-06T00:00:00Z"}}, {"id": "2983695680", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-08-24T16:23:08Z", "type": "Journal Article", "created": "2019-11-08", "title": "Deployment and Verifications of the Spatial Filtering of Data Measured by Field Harvesters and Methods of Their Interpolation: Czech Cereal Fields between 2014 and 2018", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Yield mapping is a subject of research in (precision) agriculture and one of the primary concerns for farmers as it forms the basis of their income and has implications for subsidies and taxes. The presented approach involves deployment of field harvesters equipped with sensors that provide more detailed and spatially localized values than merely a sum of yields for the whole plot. The measurements from such sensors need to be filtered and subject to further processing, including interpolation, to facilitate follow-up interpretation. This paper aims to identify the relative differences between interpolations from (1) (field) measured data, (2) measured data that were globally filtered, and (3) measured data that were globally and locally filtered. All the measured data were obtained at a fully operational farm and are considered to represent a natural experiment. The revealed spatial patterns and recommendations regarding global and local filtering methods are presented at the end of the paper. Time investments into filtering techniques are also taken into account.</p></article>", "keywords": ["2. Zero hunger", "Chemical technology", "field harvester", "sensor measurements", "0401 agriculture", " forestry", " and fisheries", "TP1-1185", "04 agricultural and veterinary sciences", "data filtering", "Article", "yield mapping", "interpolation"]}, "links": [{"href": "http://www.mdpi.com/1424-8220/19/22/4879/pdf"}, {"href": "https://www.mdpi.com/1424-8220/19/22/4879/pdf"}, {"href": "https://doi.org/2983695680"}, {"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": "2983695680", "name": "item", "description": "2983695680", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2983695680"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-11-08T00:00:00Z"}}, {"id": "3044974791", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-08-24T16:23:17Z", "type": "Journal Article", "created": "2020-07-24", "title": "Smart Multi-Sensor Platform for Analytics and Social Decision Support in Agriculture", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Smart agriculture based on new types of sensors, data analytics and automation, is an important enabler for optimizing yields and maximizing efficiency to feed the world\u2019s growing population while limiting environmental pollution. The aim of this paper is to describe a multi-sensor Internet of Things (IoT) system for agriculture consisting of a soil probe, an air probe and a smart data logger. The implementation details will focus of the integration element and the innovative Artificial Intelligence based gas identification sensor. Furthermore, the paper focuses on the analytics and decision support system implementation that provides farming recommendations and is enhanced with a feedback loop from farmers and a social trust index that will increase the reliability of the system.</p></article>", "keywords": ["330", "decision support system", "[SPI] Engineering Sciences [physics]", "Social IoT", "Internet of Things", "TP1-1185", "01 natural sciences", "7. Clean energy", "630", "data logger", "Article", "gas sensor", "[SPI]Engineering Sciences [physics]", "Soil", "sensor", "Artificial Intelligence", "social feedback", "data analytics", "agriculture", "2. Zero hunger", "Chemical technology", "Reproducibility of Results", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "0104 chemical sciences", "3. Good health", "13. Climate action", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "http://www.mdpi.com/1424-8220/20/15/4127/pdf"}, {"href": "https://www.mdpi.com/1424-8220/20/15/4127/pdf"}, {"href": "https://doi.org/3044974791"}, {"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": "3044974791", "name": "item", "description": "3044974791", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3044974791"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-07-24T00:00:00Z"}}, {"id": "3047587766", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:23:18Z", "type": "Journal Article", "created": "2020-08-03", "title": "Source localization in resource-constrained sensor networks based on deep learning", "description": "Source localization with a network of low-cost motes with limited processing, memory, and energy resources is considered in this paper. The state-of-the-art methods are mostly based on complicated signal processing approaches in which motes send their (processed) data to a fusion center (FC) wherein the source is localized. These methods are resource-demanding and mostly do not meet the limitations of motes and network. In this paper, we consider distributed detection where each mote performs a binary hypothesis test to detect locally the existence of a desired source and sends its (potentially erroneous) decision to FC during just one bit (1 indicates source existence and 0 otherwise). Hence, both processing and bandwidth constraints are met. We propose to use an artificial neural network (ANN) to correct erroneous local decisions. After error correction, the region affected by the source is specified by nodes with decision 1. Moreover, we propose to localize the source by deep learning in FC which converts the network of decisions 1 and 0 to a black and white image with white pixels in the locations of motes with decision 1. The proposed schemes of error correction by ANN (ECANN) and source localization with deep learning (SoLDeL) were evaluated in a fire detection application. We showed that SoLDeL performs appropriately and scales well into large networks. Moreover, the applicability of ECANN in delineation of farm management zones was illustrated.", "keywords": ["Artificial neural network (ANN)", "Internet of things (IoT)", "0202 electrical engineering", " electronic engineering", " information engineering", "Deep learning", "Target tracking", "Error type II", "02 engineering and technology", "Decentralized detection", "15. Life on land", "Wireless sensor networks (WSN)", "Error type I", "Source localization"]}, "links": [{"href": "https://link.springer.com/content/pdf/10.1007/s00521-020-05253-3.pdf"}, {"href": "https://doi.org/3047587766"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Neural%20Computing%20and%20Applications", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3047587766", "name": "item", "description": "3047587766", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3047587766"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-08-03T00:00:00Z"}}, {"id": "3116249518", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-08-24T16:23:22Z", "type": "Journal Article", "created": "2020-12-17", "title": "SARMENTI: in-situ real-time soil nutrients and gaseous emission measurement", "description": "This paper presents the vision of the H2020 EU SARMENTI project that develops an IoT node that monitors in place and in real-time soil nutrients and emission of gasses above the ground, and provide recommendations to the farmer regarding appropriate fertilization strategies. The development methodology is presented here, the measurement requirements being established with end-users. Then the device architecture is summarized.", "keywords": ["agriculture 4.0", "in situ monitoring", "13. Climate action", "gaseous emission", "soil nutrients", "02 engineering and technology", "15. Life on land", "sensors", "0210 nano-technology", "7. Clean energy", "01 natural sciences", "[SPI.TRON] Engineering Sciences [physics]/Electronics", "0104 chemical sciences"]}, "links": [{"href": "http://xplorestaging.ieee.org/ielx7/9278947/9278778/09278984.pdf?arnumber=9278984"}, {"href": "https://doi.org/3116249518"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2020%207th%20International%20Conference%20on%20Energy%20Efficiency%20and%20Agricultural%20Engineering%20%28EE%26amp%3BAE%29", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3116249518", "name": "item", "description": "3116249518", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3116249518"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-11-12T00:00:00Z"}}, {"id": "3119605249", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:23:22Z", "type": "Journal Article", "created": "2021-01-04", "title": "Laser-Tunable Printed ZnO Nanoparticles for Paper-Based UV Sensors with Reduced Humidity Interference", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Development of paper-based sensors that do not suffer with humidity interference is desirable for practical environmental applications. In this work, a laser processing method was reported to effectively modulate the cross-sensitivity to humidity of ZnO-based UV (Ultraviolet) sensors printed on paper substrate. The results reveal that the laser induced zinc oxide (ZnO) surface morphology contributes to the super-hydrophobicity of the printed ZnO nanoparticles, reducing humidity interference while enhancing UV sensitivity. Herein, this conducted research highlights for the first time that laser processing is an attractive choice that reduces the cross-sensitivity to water vapor in the UV sensing response of ZnO-based devices printed on paper, paving the way to low-cost and sophisticated paper-based sensors.</p></article>", "keywords": ["humidity resistance", "Chemistry", "13. Climate action", "ZnO nanoparticles", "UV sensors", "paper-based device", "02 engineering and technology", "0210 nano-technology", "QD1-999", "paper-based device; UV sensors; ZnO nanoparticles; humidity resistance", "Article"]}, "links": [{"href": "http://www.mdpi.com/2079-4991/11/1/80/pdf"}, {"href": "https://www.mdpi.com/2079-4991/11/1/80/pdf"}, {"href": "https://doi.org/3119605249"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nanomaterials", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3119605249", "name": "item", "description": "3119605249", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3119605249"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-02T00:00:00Z"}}, {"id": "3153312371", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-08-24T16:23:24Z", "type": "Journal Article", "created": "2021-04-11", "title": "Georeferenced tractor wheel slip data for prediction of spatial variability in soil physical properties", "description": "The upcoming technological breakthrough in the cropping system will offer a more detailed insight into soil-to-plant, man-to-soil, and man-to-plant impacts, thus improving the forecasting and ensuring more efficient in-field management. This study presents various on-the-go sensing procedures which were conducted in order to evaluate the quality of spatial estimations of soil physical properties such as soil compaction, soil moisture content, bulk density and texture. Standard statistical tools showed high positive correlations between soil specific resistance and soil compaction (R2\u2009=\u2009.75), soil electromagnetic conductivity and moisture content (R2\u2009=\u2009.72) and tractor wheel slip and soil compaction (R2\u2009=\u2009.64). Variogram modeling of spatial autocorrelation gave the highest prediction error for tillage resistance (9.85%), followed by cone index (4.49%), moisture content (3.7%), bulk density (1.39%), clay\u2009+\u2009silt content (.98%), soil electromagnetic conductivity (.95%) and the least error was obtained for tractor wheel slip (.58%). The Central Composite Design (CCD) analysis confirmed significant contribution of soil compaction in the modeling of the specific soil resistance and tractor wheel slip, while soil moisture content and fine particle (clay\u2009+\u2009silt) content had a major impact on soil electromagnetic conductivity measurement. Soil bulk density had considerable importance in CCD modeling of tractor wheel slip.", "keywords": ["On-the-go measurement", "2. Zero hunger", "0106 biological sciences", "Sensors", "0401 agriculture", " forestry", " and fisheries", "Soil properties", "04 agricultural and veterinary sciences", "15. Life on land", "General Agricultural and Biological Sciences", "01 natural sciences", "Central composite design", "6. Clean water"]}, "links": [{"href": "https://link.springer.com/content/pdf/10.1007/s11119-021-09805-y.pdf"}, {"href": "https://doi.org/3153312371"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Precision%20Agriculture", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3153312371", "name": "item", "description": "3153312371", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3153312371"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-04-11T00:00:00Z"}}, {"id": "3162250016", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-08-24T16:23:25Z", "type": "Journal Article", "created": "2021-05-20", "title": "Platinum-Based Interdigitated Micro-Electrode Arrays for Reagent-Free Detection of Copper", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Water is a precious resource that is under threat from a number of pressures, including, for example, release of toxic compounds, that can have damaging effect on ecology and human health. The current methods of water quality monitoring are based on sample collection and analysis at dedicated laboratories. Recently, electrochemical-based methods have attracted a lot of attention for environmental sensing owing to their versatility, sensitivity and their ease of integration with cost effective, smart and portable readout systems. In the present work, we report on the fabrication and characterization of platinum-based interdigitated microband electrodes arrays, and their application for trace detection of copper. Using square wave voltammetry after acidification with mineral acids, a limit of detection of 0.8 \u03bcg/L was achieved. Copper detection was also undertaken on river water samples and compared with standard analytical techniques. The possibility of controlling the pH at the surface of the sensors\u2014thereby avoiding the necessity to add mineral acids\u2014was investigated. By applying potentials to drive the water splitting reaction at one comb of the sensor\u2019s electrode (the protonator), it was possible to lower the pH in the vicinity of the sensing electrode. Detection of standard copper solutions down to 5 \u03bcg/L (ppb) using this technique is reported. This reagent free method of detection opens the way for autonomous, in situ monitoring of pollutants in water bodies.</p></article>", "keywords": ["13. Climate action", "Chemical technology", "electrochemical sensors", "pH control", "TP1-1185", "02 engineering and technology", "heavy metals", "0210 nano-technology", "01 natural sciences", "Article", "6. Clean water", "environmental monitoring", "0104 chemical sciences"]}, "links": [{"href": "http://www.mdpi.com/1424-8220/21/10/3544/pdf"}, {"href": "https://doi.org/3162250016"}, {"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": "3162250016", "name": "item", "description": "3162250016", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3162250016"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-05-19T00:00:00Z"}}, {"id": "3193540681", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:23:27Z", "type": "Journal Article", "created": "2021-08-16", "title": "Microwave Spoof Surface Plasmon Polariton-Based Sensor for Ultrasensitive Detection of Liquid Analyte Dielectric Constant", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>In this paper, a microwave microfluidic sensor based on spoof surface plasmon polaritons (SSPPs) was proposed for ultrasensitive detection of dielectric constant. A novel unit cell for the SSPP structure is proposed and its behaviour and sensing potential analysed in detail. Based on the proposed cell, the SSPP microwave structure with a microfluidic reservoir is designed as a multilayer configuration to serve as a sensing platform for liquid analytes. The sensor is realized using a combination of rapid, cost-effective technologies of xurography, laser micromachining, and cold lamination bonding, and its potential is validated in the experiments with edible oil samples. The results demonstrate high sensitivity (850 MHz/epsilon unit) and excellent linearity (R2 = 0.9802) of the sensor, which, together with its low-cost and simple fabrication, make the proposed sensor an excellent candidate for the detection of small changes in the dielectric constant of edible oils and other liquid analytes.</p></article>", "keywords": ["spoof surface plasmon polariton (SSPP)", "edible oils", "permittivity sensing", "Chemical technology", "microwave sensor", "0202 electrical engineering", " electronic engineering", " information engineering", "TP1-1185", "02 engineering and technology", "Surface Plasmon Resonance", "Microwaves", "0210 nano-technology", "Article"]}, "links": [{"href": "http://www.mdpi.com/1424-8220/21/16/5477/pdf"}, {"href": "https://www.mdpi.com/1424-8220/21/16/5477/pdf"}, {"href": "https://doi.org/3193540681"}, {"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": "3193540681", "name": "item", "description": "3193540681", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3193540681"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-08-13T00:00:00Z"}}, {"id": "3194159309", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:23:28Z", "type": "Journal Article", "created": "2021-08-11", "title": "Acoustic spoof surface plasmon polaritons for filtering, isolation and sensing", "description": "We study a waveguide structure supporting acoustic spoof plasmon polaritons (aSSPPs) perturbed by a defect, whose specifically tailored geometry enables controllable transmission characterized by a uniform phase distribution and very steep narrowband response. The structure is analyzed using transmission-line theory and numerical simulations, providing evidence for its use in advanced filters, isolators and sensor technology. In order to demonstrate the applicability of the aSSPP waveguide with defect, two selective narrowband filter designs are discussed and explored. Furthermore, we propose an acoustic isolator that exploits steady fluid flow to break reciprocity and provide large isolation in a narrowband region. We also propose a sensor for liquid analytes, in which the grooves of the aSSPP waveguide serve as microfluidic channels, while the sensing principle is based on the spectral shift of the transmission peak for different mixtures of water and glycerol. The sensor shows a good sensitivity and fast response, with a potential for further development for applications in water quality monitoring.", "keywords": ["Filter", "Physics", "QC1-999", "Acoustic waveguide", "02 engineering and technology", "Isolator", "Spoof surface plasmon polariton", "0210 nano-technology", "Sensor"]}, "links": [{"href": "https://doi.org/3194159309"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Results%20in%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3194159309", "name": "item", "description": "3194159309", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3194159309"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-09-01T00:00:00Z"}}, {"id": "4326701", "type": "Feature", "geometry": null, "properties": {"license": "Closed Access", "updated": "2026-08-24T16:23:44Z", "type": "Journal Article", "created": "2004-04-30", "title": "Cortical circuitry underlying the mixed receptive fields of certain pyramidal tract neurons", "description": "Abstract   In a sample of 320 extracellularly recorded pyramidal tract (PT) neurons isolated in the pericruciate cerebral cortex of the domestic cat, 49 showed an unusual antidromic (AD) response. In addition to the usual AD spike, these neurons gave a second (and sometimes a third) \u201cAD\u201d spike clearly distinguishable from the orthodromic burst of spikes produced by stimulus current spread through the medullary pyramid and into the adjacent medial lemniscus pathway. This second spike resulted from excitatory collateral action of some PT neurons onto those PT neurons with the shortest antidromic latencies. These double antidromic response neurons displayed unusual response properties and possessed mixed excitatory receptive fields. A previously deduced circuit showing some of the connections among certain subsets of cerebral neurons suggested the possible origin of the double antidromic response and the mixed receptive fields. The circuit was elaborated to include new findings of this study.", "keywords": ["Cerebral Cortex", "Neurons", "0301 basic medicine", "Pyramidal Tracts", "Somatosensory Cortex", "Synaptic Transmission", "Electric Stimulation", "03 medical and health sciences", "0302 clinical medicine", "Cats", "Reaction Time", "Animals", "Neurons", " Afferent", "Skin"], "contacts": [{"organization": "A L, Towe, C F, Tyner,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/4326701"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Experimental%20Neurology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "4326701", "name": "item", "description": "4326701", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/4326701"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "1971-05-01T00:00:00Z"}}, {"id": "5d79c548-4e5a-48d6-83ab-296ba0d25791", "type": "Feature", "geometry": null, "properties": {"license": "http://data.vlaanderen.be/id/licentie/modellicentie-gratis-hergebruik/v1.0", "updated": "2025-09-15T00:00:00Z", "type": "Dataset", "language": "nl", "title": "Management instrument - Sensor", "description": "Map layer that displays the instruments and sensors created in DOV. Different sensor parameters can be measured (the most common are rising heights, temperature and soil moisture). The corresponding high-frequency measurement series are charged (automatically or not) in DOV.", "formats": [{"name": "KML"}], "keywords": ["be", "bodem", "databank-ondergrond-vlaanderen", "dov", "grondwater", "meetprogramma", "ondergrond", "sensoren-en-instrumenten-voor-de-opmetingen-van-hoogfrequente-metingen", "vlaanderen", "vmm"], "contacts": [{"organization": "Vlaamse overheid - Vlaamse MilieuMaatschappij", "roles": ["creator"]}, {"organization": "https://org.belgif.be/id/CbeEstablishmentUnit/2143719695", "roles": ["publisher"]}]}, "links": [{"href": "https://metadata.vlaanderen.be/srv/dut/catalog.search#/metadata/2164ec21-ed6c-43e0-916b-8434962fcfbe"}, {"href": "https://www.vlaanderen.be/DataCatalogRecord/2164ec21-ed6c-43e0-916b-8434962fcfbe"}, {"href": "http://data.europa.eu/88u/dataset/5d79c548-4e5a-48d6-83ab-296ba0d25791"}, {"rel": "self", "type": "application/geo+json", "title": "5d79c548-4e5a-48d6-83ab-296ba0d25791", "name": "item", "description": "5d79c548-4e5a-48d6-83ab-296ba0d25791", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/5d79c548-4e5a-48d6-83ab-296ba0d25791"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "a44b2576-1927-49e2-9ace-3a5abf299819", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[5.81, 47.26], [5.81, 54.76], [15.77, 54.76], [15.77, 47.26], [5.81, 47.26]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "vegetation index"}, {"id": "crop monitoring"}, {"id": "spectral analysis"}, {"id": "appropriate technology"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}, {"id": "low cost"}, {"id": "spectral sensor"}, {"id": "open source device"}, {"id": "net ecosystem carbon balance"}, {"id": "water use efficiency"}], "scheme": "Individual"}, {"concepts": [{"id": "Bodennutzung"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Germany"}, {"id": "Brandenburg"}, {"id": "M\u00e4rkisch Oderland"}, {"id": "Philippines"}, {"id": "Benin"}], "scheme": "individual"}], "license": "CC BY", "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2024-03-01", "type": "Dataset", "created": "2024-02-15", "language": "eng", "title": "Low-cost ground-based NDVI sensor device for manual and automated crop monitoring - Field validation", "description": "NDVI measurements from field validation of low-cost sensor device\n\nGeneral description see mother table: (https://doi.org/10.4228/zalf-db3a-6q09); Related datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "formats": [{"name": "CSV"}], "keywords": ["vegetation index", "crop monitoring", "spectral analysis", "appropriate technology", "opendata", "low cost", "spectral sensor", "open source device", "net ecosystem carbon balance", "water use efficiency", "Bodennutzung", "Germany", "Brandenburg", "M\u00e4rkisch Oderland", "Philippines", "Benin"], "contacts": [{"name": "Leibniz Centre for Agricultural Landscape Research", "organization": "ZALF", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "https://ror.org/01ygyzs83", "name_url": "", "description": "ROR", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Reena Macagga", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "reena.macagga@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-3407-5177", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Mathias Hoffmann", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "mathias.hoffmann@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-2776-1403", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Geoffroy Sossa", "organization": "University of Sciences, Techniques and Technologies of Bamako (USTTB)", "position": null, "roles": 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