Winter wheat yield prediction using convolutional neural networks from environmental and phenological data

no code implementations • 4 May 2021 • Amit Kumar Srivastava, Nima Safaei, Saeed Khaki, Gina Lopez, Wenzhi Zeng, Frank Ewert, Thomas Gaiser, Jaber Rahimi

We used eight supervised machine learning models as baselines and evaluated their predictive performance using RMSE, MAE, and correlation coefficient metrics to benchmark the yield prediction results.

BIG-bench Machine Learning Management