Abstract: An irrigation decision support system that integrates IOT (Internet of Things), artificial intelligence and user defined zone details for improving agricultural yield. The system factors in and monitors microclimatic conditions, soil water balance and predicts water loss in the future for efficient irrigation planning by using robust machine learning models. The user-defined zone inputs include factors like crop type, old irrigation, old depletion, future rainfall, soil profile and many other factors and provides recommendations to farmers via a mobile application.