CropSuite – Crop suitability assessment for 48 crops under rainfed and irrigated conditions for Africa

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dc.creatorZabel, Florian
dc.creatorKnüttel, Matthias
dc.creatorPoschlod, Benjamin
dc.creatorRosenstock, Todd Stuart
dc.creatorRamirez Villegas, Julian Armando
dc.creatorSteward, Peter Richard
dc.creatorYoungberg, Brayden
dc.date2024
dc.date2026-01-14T19:01:39Z
dc.date2026-01-14T19:01:39Z
dc.date.accessioned2026-06-27T13:32:18Z
dc.descriptionCropSuite is an open-source crop suitability modeling framework designed to support sustainable agricultural planning and climate adaptation. It integrates climate, soil, and elevation data using a fuzzy-logic, empirical approach that accounts for interannual climate variability, producing transparent and interpretable suitability assessments. Along with the model, a spatial dataset for Africa is provided which includes high-resolution maps of crop suitability, climate suitability, limiting factors, multiple-cropping potential, optimal sowing dates, and suitable sowing windows for 48 major crops, generated with and without climate variability. Outputs are also provided disaggregated into rainfed and irrigated conditions.
dc.identifierhttps://hdl.handle.net/10568/179841
dc.identifier.urihttp://hdl.handle.net/123456789/62528
dc.languageen
dc.rightsOpen Access
dc.sourceZabel, F.; Knüttel, M.; Poschlod, B.; Rosenstock, T.S.; Ramirez Villegas, J.A.; Steward, P.R.; Youngberg, B. (2024) CropSuite Model and Data. https://doi.org/10.5281/zenodo.14514729
dc.subjectagriculture
dc.subjectclimate change
dc.subjectcrops
dc.subjectmodelling
dc.titleCropSuite – Crop suitability assessment for 48 crops under rainfed and irrigated conditions for Africa
dc.typeDataset

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