{"type": "FeatureCollection", "features": [{"id": "10.1016/j.agwat.2023.108391", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:15:21Z", "type": "Journal Article", "created": "2023-06-02", "title": "Optimizing relative root-zone water depletion thresholds to maximize yield and water productivity of winter wheat using AquaCrop", "description": "Determination of relative root-zone water depletion (RRWD) thresholds to trigger irrigation is crucial to create optimal irrigation schedules targeting maximum yield and/or water productivity with limited water supply for a crop. In this study, a numerical procedure to determine RRWD thresholds was developed through coupling AquaCrop software with genetic-simplex algorithms. Using a two-year field lysimetric experiment for winter wheat conducted in the North China Plain (NCP), AquaCrop adequately simulated canopy cover, final aboveground biomass, grain yield, seasonal evapotranspiration, and soil water storage, with the normalized root mean squared error (NRMSE) smaller than 15 % and determination coefficient (R2) larger than 0.84. The global optimum range of RRWD thresholds was preliminarily determined using the genetic algorithm, and subsequently final RRWD thresholds were optimized by fine tuning using the simplex algorithm. The RRWD threshold combinations (composed of the RRWD thresholds to trigger different sequential irrigation events) for varying number of irrigation events (i.e.1\u20134) were optimized based on 39 years of historical meteorological data, and the effects of climate change on the optimal crop yield (Ya, opt), water productivity (WPopt), and the combinations of optimized RRWD threshold (RRWDopt) were investigated. The results indicated that both Ya, opt and WPopt generally increased with time showing a tendency of gradually elevated annual CO2 concentration and seasonal average effective temperature. Irrespective of the number of irrigation events during the winter wheat growing season, the differences of RRWDopt for different combinations of irrigation sequence and event in the same kind of hydrological year were relatively small, with a coefficient of variation consistently less than 23 % and a mean of 8 %. When combinations of mean RRWDopt were applied into AquaCrop to trigger irrigation for winter wheat in various hydrological years, the simulated yield (Ya, sim) and water productivity (WPsim) under 1\u20134 irrigation events were found to be comparable to their respective optimums (Ya, opt and WPopt), with all the values of Ya, sim (WPsim) falling in the range of 92 %Ya, opt (90 %WPopt). Therefore, the mean RRWDopt should be helpful to formulate rational irrigation management strategies of winter wheat under changing climatic conditions in the NCP.", "keywords": ["HD9000-9495", "2. Zero hunger", "0106 biological sciences", "Evapotranspiration", "Agriculture (General)", "04 agricultural and veterinary sciences", "Agricultural industries", "15. Life on land", "01 natural sciences", "Irrigation scheduling", "6. Clean water", "S1-972", "Optimization algorithm", "13. Climate action", "Climate change", "0401 agriculture", " forestry", " and fisheries", "Crop model"]}, "links": [{"href": "https://doi.org/10.1016/j.agwat.2023.108391"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20Water%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agwat.2023.108391", "name": "item", "description": "10.1016/j.agwat.2023.108391", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agwat.2023.108391"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-08-01T00:00:00Z"}}, {"id": "10.1016/j.atech.2025.101106", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:15:28Z", "type": "Journal Article", "created": "2025-06-10", "title": "A preliminary model for determining a soil quality index including biological data implemented through a QR code application", "description": "Soil plays a central role in delivering several ecosystem services. However, its complex nature, the spatial variability and the timescale of soil processes make it challenging to quantify shifts in soil quality as a result of agronomical practices. A comprehensive indicator that includes parameters from different categories of soil properties, allowing an easy interpretation of soil quality by farmers and land managers, is thus needed. In this context, a class-modelling approach based on the Data-Driven Soft Independent Model of Class Analogy (DD-SIMCA) was tested to develop a soil quality index based on physical, chemical and biological parameters. Three models were built on a dataset composed by physical, chemical and biological soil parameters, which was created basing on ranges of values common to agricultural soils. The algorithm was thus applied to a real dataset obtained from about 9800 soil samples. The models showed very high performance (sensitivity = 1), allowing to classify the samples into quality groups. The model output was incorporated into a coloured QR-code, which allowed to express the quality of a soil sample with a colorimetric scale based on a soil quality index. A preliminary version of the tool is available for further testing and validation through a web platform (https://agritechlab.crea.gov.it/model/ddsimcasoil/ddsimcasoil.html).", "keywords": ["HD9000-9495", "QR-code", "Soil quality index", "Agriculture (General)", "DD-SIMCA", "digital soil", "Agricultural industries", "DSS", "S1-972"]}, "links": [{"href": "https://doi.org/10.1016/j.atech.2025.101106"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Smart%20Agricultural%20Technology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.atech.2025.101106", "name": "item", "description": "10.1016/j.atech.2025.101106", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.atech.2025.101106"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-12-01T00:00:00Z"}}, {"id": "10.1186/s40100-019-0133-9", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:19:12Z", "type": "Journal Article", "created": "2019-07-14", "title": "Partnering for sustainability in agri-food supply chains: the case of Barilla Sustainable Farming in the Po Valley", "description": "Abstract The objective of the paper is to understand the process of designing a multi-stakeholder partnership in the adoption of sustainable innovations in value chains. More specifically, the focus is on the design of feasible types of horizontal agreements and contractual formulas to be implemented in the agri-food supply chain in order to introduce sustainable agricultural practices. To this purpose, the Barilla Sustainable Farming initiative, which is currently in the first phase of designing an MSP, is used as a case study.", "keywords": ["HD9000-9495", "2. Zero hunger", "330", "ddc:330", "Nutrition. Foods and food supply", "05 social sciences", "Supply chain protocols", "Horizontal agreements", "Agricultural industries", "Contract design", "01 natural sciences", "12. Responsible consumption", "Sustainability", "Crop rotation", "11. Sustainability", "0502 economics and business", "TX341-641", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://link.springer.com/content/pdf/10.1186/s40100-019-0133-9.pdf"}, {"href": "https://doi.org/10.1186/s40100-019-0133-9"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20and%20Food%20Economics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1186/s40100-019-0133-9", "name": "item", "description": "10.1186/s40100-019-0133-9", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1186/s40100-019-0133-9"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-07-14T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=HD9000-9495&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=HD9000-9495&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=HD9000-9495&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=HD9000-9495&offset=3", "hreflang": "en-US"}], "numberMatched": 3, "numberReturned": 3, "distributedFeatures": [], "timeStamp": "2026-07-27T12:54:30.287982Z"}