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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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Pubblicato in:Sci Rep
Autori principali: Shahhosseini, Mohsen, Hu, Guiping, Huber, Isaiah, Archontoulis, Sotirios V.
Natura: Artigo
Lingua:Inglês
Pubblicazione: Nature Publishing Group UK 2021
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC7810832/
https://ncbi.nlm.nih.gov/pubmed/33452349
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-80820-1
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