Wheat yield estimation using remote sensing data based on machine learning approaches

Accurate predictions of wheat yields are essential to farmers’production plans and to the international trade in wheat. However, only poor approximations of the productivity of wheat crops in China can be obtained using traditional linear regression models based on vegetation indices and observation...

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Detalles Bibliográficos
Autores principales: Cheng, Enhui, Zhang, Bing, Peng, Dailiang, Zhong, Liheng, Yu, Le, Liu, Yao, Xiao, Chenchao, Li, Cunjun, Li, Xiaoyi, Chen, Yue, Ye, Huichun, Wang, Hongye, Yu, Ruyi, Hu, Jinkang, Yang, Songlin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9816798/
https://www.ncbi.nlm.nih.gov/pubmed/36618627
http://dx.doi.org/10.3389/fpls.2022.1090970

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9816798/
https://www.ncbi.nlm.nih.gov/pubmed/36618627
http://dx.doi.org/10.3389/fpls.2022.1090970

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