Integration of multi-source data with machine learning for agricultural drought monitoring in Morocco
Drought is one of the most costly disasters worldwide. The complexity of nonlinear relationships between drought variables and drought severity during drought events poses significant challenges for accurate drought monitoring and prediction. Drought research in Morocco has been dominated by linear and conventional statistical methods, such as the pearson correlation. Although some earlier researc
