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,...

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Detalles Bibliográficos
Autores principales: Cheng, Minghan, Jiao, Xiyun, Shi, Lei, Penuelas, Josep, Kumar, Lalit, Nie, Chenwei, Wu, Tianao, Liu, Kaihua, Wu, Wenbin, Jin, Xiuliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Data Descriptor
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

Internet

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

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