Author

D. Ertl

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Plant Biology· 1

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Approach:deep learning· 1

Frequent Co-Authors

B. Alaca· 1 shared C. N. Hirsch· 1 shared D. C. Lima· 1 shared D. Kick· 1 shared D. Moreta· 1 shared J. C. Schnable· 1 shared J. D. Washburn· 1 shared J. E. Knoll· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperPlant Biology

B. Alaca

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1 paper

Recent·Most cited

Yield Prediction Through Integration of Genetic, Environment, and Management Data Through Deep Learning

D. Kick, J. Wallace, J. C. Schnable, J. M. Kolkman, B. Alaca, T. M. Beissinger, D. Ertl, S. Flint-Garcia, J. L. Gage, C. N. Hirsch, J. E. Knoll, N. de Leon, D. C. Lima, D. Moreta, M. Singh, , J. D. Washburn

This study uses deep learning to predict maize yield by integrating genetic, environmental, and management data, finding that models incorporating interactions perform best.

bioRxiv · Jul 29, 2022Plant Biology