IRRIGATION MANAGEMENT USING IoT and MACHINE LEARNING

Abstract: An automated irrigation system was developed to enhance production of crops. The system consists of sensors placed within the root zone of the plants. Additionally, sensor information is handled by a gateway unit, which transmits data to a mobile application. An algorithm was developed which can predict threshold values of temperature and soil moisture into a micro controller-based gateway. The system was supported by a cellular-Internet interface that allows data inspection and irrigation scheduling through a mobile application. The automated system was tested, and overall efficiency increased up to 90% compared with traditional irrigation practices of the agricultural zone. The system has the potential to be useful in geographically isolated areas.