Nutrient imbalance occurs in a recirculating aquaponic system due to constant absorption of plants set on the growth bed. Biological parameters nutrient solution systems are usually affected by pH and electrical conductivity which are vital to plant health, thus, necessary to be monitored and controlled. To address this problem, the development of an automated biological information control system using fuzzy logic for smart aquaponics is deened necessary. This system is composed of two sections: the design of a nutrient solution control system and the design of fuzzy logic that will control the solenoid valves for fluid distribution based on the levels of pH and electrical conductivity. Two valves mechanically control the inflow of pond water and concentrated water that is substantially fertilizer-dissolved water. The duration of having the solenoid valve open is based on the triggered membership function of the output of the fuzzy controller. The fuzzy inference engine used the combined Min-Max and Mamdani methods. The centroid method was used for defuzzification. The embedded fuzzy logic library (eFLL) was deployed using an Arduino microcontroller. The designed mechanism provides suitable decisions for the control system of aquaponics nutrient solution.
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