Analysis of Corn Yield Prediction Potential at Various Growth Phases Using a Process-Based Model and Deep Learning

Early and accurate prediction of grain yield is of great significance for ensuring food security and formulating food policy. The exploration of key growth phases and features is beneficial to improving the efficiency and accuracy of yield prediction. In this study, a hybrid approach using the WOFOS...

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Detalles Bibliográficos
Autores principales: Ren, Yiting, Li, Qiangzi, Du, Xin, Zhang, Yuan, Wang, Hongyan, Shi, Guanwei, Wei, Mengfan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920366/
https://www.ncbi.nlm.nih.gov/pubmed/36771530
http://dx.doi.org/10.3390/plants12030446

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920366/
https://www.ncbi.nlm.nih.gov/pubmed/36771530
http://dx.doi.org/10.3390/plants12030446

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