Development of Tools for Decision Support System Based Hydraulic Simulation and IoT for Irrigation System

Smart agriculture is of important for countries worldwide. In the situation of water scarcity, the effective use of water is urgent for every sector, especially in Vietnam. A large areas of agriculture field in Vietnam is irrigated through branches of rivers where valve gates are installed to take water for irrigation channel. The existing operations of irrigation channels are based on human experience with assumption that water level at front of the channels is always sufficient. However, now a day, with the effect of climate change and the conditions of complicated agriculture activities, the river conveys water levels and flows to irrigation channels are so different, as it varies with short time interval. The use of control policy without predictive model therefore lacks reliability and affects on the irrigation planning. In addition, the operations of irrigation channel systems at different areas on the same river should be cooperated to ensure the goal of sufficient water supply. In this paper, with the innovative technology of IoT and simulation cores, we developed a new computation framework which combines IoT real time data and MIKE 11 model to predict water flows and water levels for irrigation channels. The application is evaluated on An Kim Hai river in Vietnam