Aquaculture is essential for meeting the growing global demand for seafood by cultivating aquatic species in
controlled environments such as ponds and tanks. This study presents an innovative IoT-based water quality monitoring system
designed specifically for Mahseer fish farming. The system utilizes an ESP32 Development Board equipped with sensors to
monitor water quality parameters and employs the Blynk 2.0 platform for real-time data visualization. A C/C++ algorithm
managed through the Arduino IDE facilitates effective communication between the sensors and the microcontroller. The results
demonstrate the system's effectiveness in maintaining optimal water conditions, enabling early detection and timely intervention
for potential issues. This approach enhances the sustainability and efficiency of Mahseer fish farming. Future research will
focus on refining accuracy, improving scalability, and integrating advanced data analytics to boost predictive capabilities and
promote more efficient and profitable aquaculture practices.
Keywords - Aquaculture, Mahseer, IoT, Blynk, Esp32.