Machine Learning-Based Modeling of Spatio-Temporally Varying Responses of Rainfed Corn Yield to Climate, Soil, and Management in the U.S. Corn Belt

Better understanding the variabilities in crop yield and production is critical to assessing the vulnerability and resilience of food production systems. Both environmental (climatic and edaphic) conditions and management factors affect the variabilities of crop yield. In this study, we conducted a...

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Detalles Bibliográficos
Autores principales: Xu, Tianfang, Guan, Kaiyu, Peng, Bin, Wei, Shiqi, Zhao, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8192978/
https://www.ncbi.nlm.nih.gov/pubmed/34124647
http://dx.doi.org/10.3389/frai.2021.647999

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8192978/
https://www.ncbi.nlm.nih.gov/pubmed/34124647
http://dx.doi.org/10.3389/frai.2021.647999

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