Irrigation_Need
deep learning project aimed at predicting crop irrigation needs using environmental, soil, and climate data. Performed exploratory data analysis with a correlation heatmap to identify key feature relationships, handled class imbalance using SMOTE, and built a neural network that achieved 97.7% accuracy