Fuzzy Rule-Based Systems for Controlling Plant Growth Parameters in Greenhouses Using Fog Networks

Abstract

Greenhouse technology is very effective in increasing food resilience in various countries. In this study, greenhouse technology was implemented in chili plants. Chili was chosen because it is included in food security commodities that had to be improved, especially in Central Java, Indonesia. Control and monitoring systems need to be implemented to control the condition of greenhouse environment. Greenhouse control systems in previous studies used cloud computing technology and fuzzy methods. However, cloud computing has several disadvantages, one of them is the more devices connected to the application, the greater the probability of latency is encountered. Therefore, this study proposed fuzzy rule-based to control the growth parameters in greenhouses by using fog network. Fuzzy rule based is used to determine the length of drip watering time and fog network as a platform to overcome network latency problems when conducting data collection processes. The greenhouse control system with sensor nodes is built by connecting the system with the Microcontroller ESP8266-WIFI chip to carry out data acquisition and transmission of sensor data for temperature, soil moisture, air humidity, and intensity using WIFI networks to the fog server. In this study, the calibration of the accuracy of fuzzy rule-based manual calculation and system calculation is compared. From the tests performed, the Mean Absolute Percent Error (MAPE) between the calculation and using the MAPE is 0%.