Can a combination of UAV-derived vegetation indices with biophysical variables improve yield variability assessment in smallholder farms?
The rapid assessment of maize yields in a smallholder farming system is important for understanding its spatial and temporal variability and for timely agronomic decision-support. We assessed the predictability of maize grain yield using unmanned aerial/air vehicle (UAV)-derived vegetation indices (...
| Main Authors: | , , , , |
|---|---|
| Format: | Journal Article |
| Language: | Inglés |
| Published: |
MDPI
2020
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/111335 |
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