Coupling machine learning and crop modeling improves crop yield prediction in the US Corn Belt

This study investigates whether coupling crop modeling and machine learning (ML) improves corn yield predictions in the US Corn Belt. The main objectives are to explore whether a hybrid approach (crop modeling + ML) would result in better predictions, investigate which combinations of hybrid models...

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Detalles Bibliográficos
Autores principales: Shahhosseini, Mohsen, Hu, Guiping, Huber, Isaiah, Archontoulis, Sotirios V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7810832/
https://www.ncbi.nlm.nih.gov/pubmed/33452349
http://dx.doi.org/10.1038/s41598-020-80820-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7810832/
https://www.ncbi.nlm.nih.gov/pubmed/33452349
http://dx.doi.org/10.1038/s41598-020-80820-1

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