Hybridization of process-based models, remote sensing, and machine learning for enhanced spatial predictions of wheat yield and quality
Ensuring accurate predictions of wheat yield and nutritional content is vital for enhancing agricultural pro ductivity and food security. This study aims to improve wheat yield prediction by integrating process-based models (PBM), machine learning (ML), and remote sensing (RS) techniques. Three Dec...
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Elsevier
2025
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/175162 |
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