Author

J. Swede

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Plant Biology· 1

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Approach:machine learning (classical)· 1

Frequent Co-Authors

D. Ochs· 1 shared M. A. Gore· 1 shared M. R. Krause· 1 shared R. Lott· 1 shared R. Robbins· 1 shared S. Arliss· 1 shared S. Crossman· 1 shared T. DuMond· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperPlant Biology

D. Ochs

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1 paper

Recent·Most cited

Random Forest Regression for Optimizing Variable Planting Rates for Corn and Soybean Using High-Resolution Topographical and Soil Data

M. R. Krause, S. Crossman, T. DuMond, R. Lott, J. Swede, S. Arliss, R. Robbins, D. Ochs, M. A. Gore

The paper develops a random forest regression model to optimize corn and soybean planting rates using topographical and soil data, finding that yield responses depend on complex site-specific interactions.

bioRxiv · Feb 17, 2020Plant Biology