A Hybrid Ensemble Learning Approach for Accurate SPI₆-Based Drought Forecasting in Semi-Arid Regions
This study proposes a hybrid machine learning framework to predict the six-month Standardized Precipitation Index (SPI₆) for meteorological drought assessment in Nanded, India, using NASA POWER data (1994–2024). Four models Ridge Regression, Random Forest, Multi-Layer Perceptron (MLP) and a stacking ensemble (Ensemble_...