Remote sensing-based winter wheat yield estimation integrating machine learning and crop growth multi-scenario simulations
Accurate and timely winter wheat yield prediction is critical for effective agricultural management and food security. This study used the World Food Studies (WOFOST) model, a widely adopted crop growth simulation model, to dynamically simulate winter wheat yield under various growth scenarios to pr...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | International Journal of Digital Earth |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/17538947.2024.2443470 |
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