Browsing Faculty of Arts and Sciences by Keyword "Crops"
Now showing items 1-1 of 1
-
Random Forests for Global and Regional Crop Yield Predictions
(Public Library of Science, 2016)Accurate predictions of crop yield are critical for developing effective agricultural and food policies at the regional and global scales. We evaluated a machine-learning method, Random Forests (RF), for its ability to ...