Light and pH Controlling of Hydroponic Cultivation Using Fuzzy Logic Control

This research designed and built an automatic control system for smart farming by controlling the environmental parameters of closed hydroponic vegetable cultivation to minimize errors. It consists of two main features: light and pH acidity. The installation of sensors to measure the quantities of both types is introduced into the programmable controller to program the control and processing. After collecting the data from the two features, when the data is input into the fuzzy theory and principle, the control system can directly predict the results with the actuator data to conveniently adjust the pH and light levels, and greatly reduce the errors caused by the equation calculation. The rules for determining the appropriate amount are largely determined by the member determination, and this algorithm is programmed and embedded in the digital controller. The experimental results show that using the fuzzy logic algorithm to predict hydroponic cultivation under controlled conditions and environments in a closed system can reduce errors to improve the growth potential. The fuzzy algorithm measurement, control and prediction system has satisfactory results, which are consistent with the plant growth and are satisfactory.