Development of an IoT-Integrated Smart Water Quality Monitoring Device to Enhance Fish Farming Sustainability
Keywords:
Iot T, Water quality, ESP32, Blynk, Aquaculture MonitoringAbstract
A study has been conducted on the development of an Internet of Things (IoT)-based water quality monitoring device to support sustainability in freshwater fish farming. Water quality is a critical factor that affects fish health, growth, and productivity. Manual monitoring of water parameters is often inefficient and less responsive to environmental changes. To address this issue, an automated system was developed by integrating an ESP32 microcontroller with sensors for water temperature, pH, turbidity, and air humidity. Sensor data are transmitted in real-time via Wi-Fi and displayed on the Blynk application, allowing remote monitoring. The research methodology included hardware design and assembly, system programming, sensor integration, and functional testing in a semi-controlled environment. The test results showed that the system operates stably and provides accurate data. The recorded average pH was 7.25, water temperature ranged from 28–29°C, and turbidity was between 18–20 NTU, all of which fall within the optimal range for fish cultivation. This system demonstrates potential as an innovative solution for more efficient and data-driven aquaculture management. The implementation of this technology is expected to assist fish farmers in making timely and informed decisions based on real-time data.
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Data Availability Statement
All relevant data supporting the findings of this study are available within the article
