Modelling And Laboratory Test of An IoT-Solar Energy Based Automatic Irrigation Gate System

This study describes the modelling and laboratory testing about Internet of Things (IoT)-solar energy based automatic irrigation gate system for sustainable agricultural water management. The system designed utilizes a photovoltaic energy source combined with Maximum Power Point Tracking (MPPT) for optimizing energy generation and enables autonomous operation. In the model, the irrigation gate and electrical system is a set, represented 3D simulation that illustrates the relationship between operational states and laboratory conditions. To represent the hydraulic relationship between gate openings, flow discharge, water level changes, a mathematical model was derived and validated using scaled laboratory tests in different operational scenarios. The prototype provided good accuracy in discharge prediction (R2 > 0.9) and fast response time (