A machine learning interpretation of the contribution of foliar fungicides to soybean yield in the north‐central United States
Abstract 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...
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Main Authors: | Denis A. Shah, Thomas R. Butts, Spyridon Mourtzinis, Juan I. Rattalino Edreira, Patricio Grassini, Shawn P. Conley, Paul D. Esker |
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Format: | article |
Language: | EN |
Published: |
Nature Portfolio
2021
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Subjects: | |
Online Access: | https://doaj.org/article/3e866ed6e642441da082bfc5398484cf |
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