Nurul Ashikin Binti Daud Universiti Teknologi Malaysia
Water quality monitoring is vital for sustainable fish farming, yet traditional methods are labor-intensive, slow, and lack real-time insights. This project introduces a real-time monitoring system for key water parameters, including pH, temperature, and pump vibration. Leveraging sensor networks and microcontrollers, the system automates data collection, analysis, and control. A user-friendly interface displays real-time data, while automated actions, such as salt adjustment for pH regulation, ensure timely interventions. This solution enhances water quality management, minimizes human error, and reduces operational costs. It effectively maintains safe water conditions, improves fish health, and promotes environmental sustainability in aquaculture operations.