Simulink Modeling of Smart Irrigation SystemBased on Fuzzy Logic Control

Chenee L. Dizon, Glenn G. De Villa, David Joshua L. Platon, John Michael M. De Chavez, Gener C. Roxas, Engr. Rionel B. Caldo Abstract— The proposed smart irrigation system optimizes agricultural water conservation and this paper presents a realization of fuzzy logic in automated irrigation and water level control. The goal of this project is to create and simulate a fuzzy logic-based controller with a stable desired value. A humidity and temperature sensor,soil moisture sensor in the field, and an ultrasonic sensor from the water tank are used as inputs to the fuzzy logic control system. The pump and valve are the system’s outputs, which will automatically open and close based on the inputs’ parameters. The design was developed using the MATLAB software’s Fuzzy Logic Toolbox and the SIMULINK environment. The controller was simulated using a range of rules in order to test the effectiveness of the rules on the fuzzy logic controller for the analysi