Machine learning model accurately predict maize grain yields in conservation agriculture systems in southern Africa
Adoption of CA in smallholder farmers in Africa is (s)low partly due to poor spatial targeting. Mapping the crop yield from different CA systems across space and time can reveal their spatial recommendation domains. Integration of machine learning (ML) and free remotely sensed big data have opened h...
| Main Authors: | , , , , , |
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| Format: | Conference Paper |
| Language: | Inglés |
| Published: |
Institute of Electrical and Electronics Engineers
2021
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/119867 |
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