Embedded fuzzy logic for controlling pH and nutrition in hydroponic cultivation

Abstract

The uptake of plant nutrients causes nutritional imbalances in hydroponic recirculating systems. Generally, the biological parameters of nutrition solution systems are regulated by pH and nutrients that affect plant health; thus, they must be monitored and managed. In order to solve this issue, a fuzzy logic-based automated control system for intelligent hydroponics was developed. This paper describes the implementation of fuzzy logic controllers into a hydroponic monitoring system. This method produces a controlled hydroponic system in hydroponics by first gathering hydroponic plant data in real time. The system is created using the following steps: system design, prototyping, testing, and assessment. The system’s input consists of TDS and pH sensors, which are used to detect the plant’s nutrient content and pH. The system’s output is a 4-channel relay coupled to 4 small pumps for raising the pH level (pH up), reducing the pH level (pH down), and delivering nutrition AB mix. The fuzzy inference engine employs a combination of the Min-Max and Mamdani techniques. Defuzzification was performed using the centroid technique. The embedded fuzzy logic library (eFLL) is an auxiliary library used by the Arduino IDE. The developed mechanism makes appropriate selections about the nutrition solution management system and pH level.