LSTM Raw Data for Irrigation Forecasting in Mango (Mangifera indica L.), Chimichagua, Colombia

This dataset contains daily time-series of averaged soil matric potential and calculated reference evapotranspiration from a commercial mango (Mangifera indica L.) plantation in Chimichagua, Cesar, Colombia, for the period of December 21, 2022, to April 10, 2023. Although original sensor data were collected at 15-minute intervals, the provided dataset consists of daily values processed for validating predictive models based on LSTM neural networks for efficient irrigation management. The file includes both field-derived observed values and LSTM model predictions, enabling applications in precision agriculture, water resource management, and agricultural sustainability in tropical climates.