A hybrid model for agricultural pollution load forecasting by integrating meteorological data and soil properties: an XGBoost-LSTM approach
Accurate forecasting of agricultural non-point source pollution is pivotal for sustainable land management and environmental risk mitigation. However, the complex interplay between meteorological factors and heterogeneous soil properties introduces significant temporal and spatial variability into pollutant load estima...