An IoT-Based Intelligent Irrigation Management System

Abstract

Recently, rainfall and climate change have been observed to be erratic. Hence, proper irrigation of fields has become extremely important. Inappropriate management of irrigation leads to poor quality and quantity of crops. If we irrigate the fields properly, the yield can increase significantly. This paper proposes a smart irrigation system using artificial intelligence, ICT, embedded systems and IoT. The proposed system takes into consideration external factors like soil condition and climatic conditions before suggesting any action. Our experiments show that the performance of the proposed method is quite encouraging. The accuracy recorded for the trained model while testing is 75%. This helps in using water resources efficiently and thus reducing water wastage significantly.