Towards Developing an IoT-Based Aquaculture Monitoring System

Aquaculture is one of the most important sectors for the economic development of a country. Although fish is the most common aquatic organism, the production of fish is greatly hampered every year because of inadequate monitoring of water contamination. Maintaining many factors, including temperature, pH, and turbidity, is crucial to prevent the contamination and proliferation of aquatic organisms. The conventional monitoring system exhibits intrinsic flaws, characterized by a lengthy and occasionally imprecise manual procedure that often fails to provide timely assistance to fish farmers. To mitigate this issue, an automated tool is much needed. Therefore, this study proposed an IoT-based system to monitor water quality in real-time. To determine whether the water is suitable for fish production, this system gathers data using different sensors. Moreover, an algorithm is developed to classify water quality by comparing real-time samples with the standard value. Thus, the system will set off an alarm and use IoT technology to notify the user of any irregularities in water quality. The system will remain immersed in the aquatic environment for 24 hours and will monitor any sudden change in water parameters. If critical conditions occur, an alert SMS will be sent to the user. Finally, this system is tested in ponds and bioflocs, followed by a functional accuracy test for its usability. The system is designed to be affordable, especially for small-scale farmers. It can be an aiding tool for farmers and will help boost their business as well as the economy of the country.