Winter wheat yield prediction using convolutional neural networks from environmental and phenological data

Crop yield forecasting depends on many interactive factors, including crop genotype, weather, soil, and management practices. This study analyzes the performance of machine learning and deep learning methods for winter wheat yield prediction using an extensive dataset of weather, soil, and crop phen...

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Detalles Bibliográficos
Autores principales: Srivastava, Amit Kumar, Safaei, Nima, Khaki, Saeed, Lopez, Gina, Zeng, Wenzhi, Ewert, Frank, Gaiser, Thomas, Rahimi, Jaber
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8881605/
https://www.ncbi.nlm.nih.gov/pubmed/35217689
http://dx.doi.org/10.1038/s41598-022-06249-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8881605/
https://www.ncbi.nlm.nih.gov/pubmed/35217689
http://dx.doi.org/10.1038/s41598-022-06249-w

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