Enhancing WorldCereal crop calendars with land surface phenology and machine learning
Accurate crop calendars are critical for understanding global agricultural phenology, mapping crop types, improving yield forecasts, and addressing food security challenges in the context of climate variability. This study presents significant advancements in crop calendar modeling, building upon th...
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| Principais autores: | , , , , , , , , , , , , , |
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| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Elsevier
2026-05-01
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| 叢編: | Ecological Informatics |
| 主題: | |
| 在線閱讀: | http://www.sciencedirect.com/science/article/pii/S1574954126001482 |
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