An evaluation of machine learning and deep learning models for drought prediction using weather data

Drought is a serious natural disaster that has long duration and wide range of influences. To decrease drought-induced losses, drought prediction the basis corresponding prevention reduction measures. While this problem been studied in literature, it remains unknown whether can be precisely predicted with machine learning models using weather data. answer question, real-world public dataset leveraged study, different levels are last 90 days 18 meteorological indicators as predictors. In comprehensive approach, 16 deep evaluated compared. The results show no single model achieve best performance for all evaluation metrics simultaneously, which indicates still challenging. As benchmarks further studies, code publicly available GitHub repository.