Design and development smart aquaculture in freshwater pond based on fuzzy logic

Abstract

This research has the topic of Smart Aquaculture in freshwater ponds. Aquaculture or fish farming in Indonesia still monitors and manages ponds manually. Temperature, pH, and water turbidity are important parameters for the survival of fish in ponds. Therefore, it is necessary to design a tool that can monitor and control ponds automatically. This system worked by reading the pH, temperature, and water turbidity sensors. The microcontroller utilized the sensor readings to control the peristaltic pump for liquid pH, water pump, and valve operations. Subsequently, the sensor readings were transmitted to the ESP32, which further forwarded the sensor data to the cloud database. Applications that were integrated with the cloud database display sensor reading data. The system utilized Fuzzy Logic Control with the Mamdani method to automate its operation. The inputs for the fuzzy logic control included pH, temperature, and turbidity, while the outputs consisted of the peristaltic pump, valve, and water pump. This system successfully adjusts the control conditions of temperature 35°C, pH 5, and turbidity 1200 NTU, bringing them back to the normal setpoint, which is a temperature of 32°C, pH between 6-8, and turbidity of 150 NTU, and maintains them at these values.