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...
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| Format: | Brief |
| Language: | Inglés |
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CGIAR System Organization
2024
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| Online Access: | https://hdl.handle.net/10568/168470 |
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