Crop-Growth-Modelling
Published: 12 November 2025| Version 2 | DOI: 10.17632/fwp748vfkx.2
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Description
All supporting data for the research on advancing rainfed rice yield prediction with machine learning and satellite data in Senegal
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This research was funded by the Agropolis Fondation through the CropModAdapt project (Contract No. 2201-026) and the ClimBeR initiative - France-CGIAR action plan on climate change (ICARDA Agreement No. 200303). Also, by the Pontificia Universidad Javeriana doctoral scholarship under the OMICAS project ID: 8207.
Institutions
- Universite Montpellier Faculte des Sciences de Montpellier
- Pontificia Universidad Javeriana Facultad de Ingenieria
- CIRAD Montpellier-Occitanie
Categories
Environmental Impact of Agriculture, Climate-Smart Agriculture