Implementation of IoT and Machine Learning Techniques in Smart Irrigation Systems

The lack of water supplies and the need for improved farm management are serious issues that is required to be fixed immediately. This study proposes an automated irrigation system created on the Internet of Things (IoT) for farms. This cost-effective automated irrigation monitors over-irrigation, soil erosion, and crop-specific watering needs. This new strategy promoted a sustainable practice by reducing the wastage of the excess water used in farming. The approach involves establishing a distributed wireless sensor network (WSN) across the farm, with various sensors transmitting data to a central server. Machine learning algorithms is implemented here to analyze the server data for the prediction of the optimal irrigation designs built on crop types and weather conditions, ensuring an appropriate water management.