Integrating UAV and satellite LAI data into a modified DSSAT-rapeseed model to improve yield predictions
Context Yield estimation in the fall is crucial for effective pre-winter management of winter rapeseed. Integrating remotely sensed leaf area index (LAI) with crop models has great potential for improving simulations of crop yields. Objective The objective of this study was to modify the DSSAT-Rapes...
| Autores principales: | , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2025
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/177136 |
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