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...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Elsevier
2025
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/177136 |
Similar Items: Integrating UAV and satellite LAI data into a modified DSSAT-rapeseed model to improve yield predictions
- Determining rapeseed lodging angles and types for lodging phenotyping using morphological traits derived from UAV images
- A band selection method for consumer-grade camera modification for UAV-based rapeseed growth monitoring
- Unlock genotype-environment-management interaction via field phenotypic insights for multi-scale prediction of winter rapeseed flowering in the Yangtze River Basin
- Evaluation of a UAV-mounted consumer grade camera with different spectral modifications and two handheld spectral sensors for rapeseed growth monitoring: Performance and influencing factors
- Use of rapeseed and pea grain protein supplements for organic milk production
- Growth promotion of rapeseed (Brassica napus) associated with the inoculation of phosphate solubilizing bacteria