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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,...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| 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 |