Aquaculture Automation: A Sensor-Based Approach to Optimize Water Quality

Aquaculture is a major contributor to Bangladesh’s economy, but farmers still struggle to maintain proper water quality because manual testing is slow, inaccurate, and difficult to manage in rural areas. This project introduces a low-cost, real-time monitoring system using an ESP32-32 N4 with temperature, pH, and TS300B turbidity sensors. The system collects water quality data and sends it to a mobile device, allowing farmers to track pond conditions remotely and receive alerts when values cross safe limits. Field tests show that the system provides reliable readings and helps reduce fish mortality by enabling quick action. This approach offers an affordable and practical solution for small-scale farmers, supporting better farm management and promoting wider technological adoption in the aquaculture sector.