Application of geographically weighted regression to improve grain yield prediction from unmanned aerial system imagery
Phenological data are important ratings of the in‐season growth of crops, though this assessment is generally limited at both spatial and temporal levels during the crop cycle for large breeding nurseries. Unmanned aerial systems (UAS) have the potential to provide high spatial and temporal resoluti...
| Main Authors: | , , , , , |
|---|---|
| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Wiley
2017
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| Online Access: | https://hdl.handle.net/10568/165026 |
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