A Smart Irrigation System Using IoT and Fuzzy Logic Controller

As the world's population grows, so does its demands for resources and efficient ways of managing production against the rapidly depleting resources. Agriculture is the leading sector in water usage and wastage at the same time, due to inefficient irrigation techniques. In fact, poor mitigation techniques in cases of excessive irrigation has led to a slump in production rates. This paper aims to propose an Internet of Things based irrigation system that works at reducing the frequency of irrigation while increasing the rate of production through the use of fuzzy logic. The system consists of a Mamdani fuzzy controller that acquires environment identifiers i.e. soil moisture and outside temperature through specific sensors, then applies fuzzy rules to control water flow from the water pump and produce irrigation appropriate time and frequency. The fuzzy controller is designed and implemented using MATLAB.