Fuzzy Logic Controller for Light Intensity and Humidity Control System of Greenhouse and Its Monitoring using LoRa communication protocol

Abstract

Nowadays, land for farming in urban areas is decreasing. One of the efforts to grow crops in such urban areas is to build a greenhouse. To ensure the good growth of plants in the greenhouse, the light intensity and humidity in the greenhouse area should be kept in proper condition. This paper describes the design of a fuzzy logic controller to maintain the light intensity and humidity in a prototype greenhouse at a certain setpoint. The input variables for the fuzzy inference system consist of light intensity and humidity, while the output variables are the duration of watering and ultraviolet LEDs. The input and output variables are represented by five fuzzy sets respectively with certain trapezoidal and triangular membership functions. Meanwhile, monitoring the condition of the greenhouse using the LoRa communication protocol. Experimental results show that the Mamdani fuzzy inference system for this greenhouse system can regulate the light intensity and humidity effectively with a maximum overshoot of about 17.5 % and a settling time of approximately 4 hours, whereas the maximum achievable range for transmitting data with the LoRa communication protocol is about 520 m.