A machine learning interpretation of the contribution of foliar fungicides to soybean yield in the north‐central United States

Foliar fungicide usage in soybeans in the north-central United States increased steadily over the past two decades. An agronomically-interpretable machine learning framework was used to understand the importance of foliar fungicides relative to other factors associated with realized soybean yields,...

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Detalles Bibliográficos
Autores principales: Shah, Denis A., Butts, Thomas R., Mourtzinis, Spyridon, Rattalino Edreira, Juan I., Grassini, Patricio, Conley, Shawn P., Esker, Paul D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8455673/
https://www.ncbi.nlm.nih.gov/pubmed/34548572
http://dx.doi.org/10.1038/s41598-021-98230-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8455673/
https://www.ncbi.nlm.nih.gov/pubmed/34548572
http://dx.doi.org/10.1038/s41598-021-98230-2

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