G. Mohler

Evaluating and improving crop-yield forecasting methods during extreme drought

Light is shed on the effect of dissimilarity between train and test feature distributions on forecasting models, compares deep learning versus non-deep learning models, and introduces modifications that are effective for non-deep learning models.