Securing China’s rice harvest: unveiling dominant factors in production using multi-source data and hybrid machine learning models
Abstract Ensuring the security of China’s rice harvest is imperative for sustainable food production. The existing study addresses a critical need by employing a comprehensive approach that integrates multi-source data, including climate, remote sensing, soil properties and agricultural statistics f...
| المؤلفون الرئيسيون: | , , , , , |
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| التنسيق: | مقال |
| اللغة: | English |
| منشور في: |
Nature Portfolio
2024-06-01
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| سلاسل: | Scientific Reports |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://doi.org/10.1038/s41598-024-64269-0 |