Crop yield prediction integrating genotype and weather variables using deep learning

Accurate prediction of crop yield supported by scientific and domain-relevant insights, is useful to improve agricultural breeding, provide monitoring across diverse climatic conditions and thereby protect against climatic challenges to crop production. We used performance records from Uniform Soybe...

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Detalles Bibliográficos
Autores principales: Shook, Johnathon, Gangopadhyay, Tryambak, Wu, Linjiang, Ganapathysubramanian, Baskar, Sarkar, Soumik, Singh, Asheesh K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8211294/
https://www.ncbi.nlm.nih.gov/pubmed/34138872
http://dx.doi.org/10.1371/journal.pone.0252402

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8211294/
https://www.ncbi.nlm.nih.gov/pubmed/34138872
http://dx.doi.org/10.1371/journal.pone.0252402

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