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High-resolution crop yield and water productivity dataset generated using random forest and remote sensing
Accurate and high-resolution crop yield and crop water productivity (CWP) datasets are required to understand and predict spatiotemporal variation in agricultural production capacity; however, datasets for maize and wheat, two key staple dryland crops in China, are currently lacking. In this study,...
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9586934/ https://www.ncbi.nlm.nih.gov/pubmed/36271097 http://dx.doi.org/10.1038/s41597-022-01761-0 |