Machine learning versus crop growth models: an ally, not a rival

The rapid increases of the global population and climate change pose major challenges to a sustainable production of food to meet consumer demands. Process-based models (PBMs) have long been used in agricultural crop production for predicting yield and understanding the environmental regulation of p...

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Detalles Bibliográficos
Autores principales: Zhang, Ningyi, Zhou, Xiaohan, Kang, Mengzhen, Hu, Bao-Gang, Heuvelink, Ep, Marcelis, Leo F M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Viewpoint
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9893870/
https://www.ncbi.nlm.nih.gov/pubmed/36751366
http://dx.doi.org/10.1093/aobpla/plac061

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9893870/
https://www.ncbi.nlm.nih.gov/pubmed/36751366
http://dx.doi.org/10.1093/aobpla/plac061

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