A new Quantile CNN-LSTM model predicts multi-layer soil moisture in tropical cocoa plantations with high precision. Researchers integrated explainable AI to map how rainfall and temperature drive moisture fluctuations. This approach quantifies prediction uncertainty, allowing farmers to optimize irrigation. It offers a specialized template for precision agriculture in volatile tropical climates.