Performance Evaluation and Uncertainty Quantification of Deep Learning Models for Agricultural Drought Prediction

Abstract

AbstractEarly prediction of agricultural drought is critical for minimizing its adverse impacts. Although numerous studies have addressed drought forecasting, limited attention has been given to the uncertainty analysis of predictive models. This study ...