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...
Những tác giả chính: | Ali Mokhtar, Hongming He, Mohsen Nabil, Saber Kouadri, Ali Salem, Ahmed Elbeltagi |
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Định dạng: | Bài viết |
Ngôn ngữ: | English |
Được phát hành: |
Nature Portfolio
2024-06-01
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Loạt: | Scientific Reports |
Những chủ đề: | |
Truy cập trực tuyến: | https://doi.org/10.1038/s41598-024-64269-0 |
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