From space to soil: Advancing crop mapping and ecosystem insights for smallholder agriculture
This project centers on in-season crop type mapping in Nandi County, Kenya, utilizing time-series Sentinel-2 imagery and supervised machine learning techniques. The objective is to produce accurate crop-type maps to support agricultural management activities such as yield estimation, acreage statist...
| Autor principal: | |
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| Formato: | Brief |
| Lenguaje: | Inglés |
| Publicado: |
CGIAR System Organization
2024
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/168470 |
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