Rice Yield Estimation Based on Machine Learning Applied to UAV Remote Sensing Data
Accurate in-season rice (<i>Oryza sativa</i> L.) yield prediction is crucial for improved nitrogen management and climate-smart decision making, yet rigorous comparative benchmarking of machine learning (ML) models using multi-temporal UAV spectral data with independent temporal validation remains l...
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| Autores principales: | , , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
MDPI AG
2026-05-01
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| Colección: | Remote Sensing |
| Materias: | |
| Acceso en línea: | https://www.mdpi.com/2072-4292/18/10/1575 |
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