Water quality is a crucial factor affecting the growth, health, and survival of koi fish. This study aimed to design and implement a fish pond water sterilization system using ozone technology based on the ESP32 microcontroller and the Internet of Things (IoT) for real-time water quality monitoring. The proposed system consists of an ESP32, DFRobot pH sensor, DFRobot turbidity sensor, ACS712 current sensor, ZMPT101B voltage sensor, ozone generator, two water pumps, aerator, relay module, 16×2 I²C LCD, and Node-RED platform. The Research and Development (R&D) method was employed, including system design, hardware implementation, testing, and data analysis. Experimental results showed that the water pH increased from 6.8 to 7.4, while turbidity decreased from 100% to 0% after 60 minutes of ozone treatment. A four-day observation of four koi fish confirmed normal survival throughout the testing period. The developed system effectively improved water quality and enabled real-time IoT-based monitoring.
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