Prediction of municipality-level winter wheat yield based on meteorological data using machine learning in Hokkaido, Japan
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DOI: 10.1371/journal.pone.0258677
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- Jig Han Jeong & Jonathan P Resop & Nathaniel D Mueller & David H Fleisher & Kyungdahm Yun & Ethan E Butler & Dennis J Timlin & Kyo-Moon Shim & James S Gerber & Vangimalla R Reddy & Soo-Hyung Kim, 2016. "Random Forests for Global and Regional Crop Yield Predictions," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-15, June.
- Karatzoglou, Alexandros & Smola, Alexandros & Hornik, Kurt & Zeileis, Achim, 2004. "kernlab - An S4 Package for Kernel Methods in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 11(i09).
- Jiang, Zehui & Liu, Chao & Ganapathysubramanian, Baskar & Hayes, Dermot J. & Sarkar, Soumik, 2020. "Predicting county-scale maize yields with publicly available data," ISU General Staff Papers 202009110700001775, Iowa State University, Department of Economics.
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