Using fuzzy proportional integral derivative for fig greenhouses on the Internet of Things

Abstract

The majority of people in the agricultural nation of Indonesia are farmers. Indonesia has created a variety of planting medium, including the use of greenhouses. For plant growers, greenhouses are one of the most promising planting medium because they may be able to address the problems caused by severe climate change. Technologies like automated watering systems, air temperature control, air humidity, and soil moisture make it simple to regulate the condition of a greenhouse. By using fuzzy proportional integral derivative (FPID) as artificial intelligence on the Internet of things (IoT) for greenhouses, this study focuses on figs. To ensure that the figs in the greenhouse are constantly in the best possible circumstances, the Tsukamoto technique is used to monitor the soil and air conditions. It is then combined with proportional integral derivative (PID) control to regulate the soil moisture, air temperature, and air humidity. The growth of figs in a greenhouse may be maximized by FPID on IoT as the soil and air conditions can be kept at optimal levels.