Design and Implementation of Smart Fish Farm Management System for Nile Tilapia

As the demand for fish farming in the Philippines expands, traditional Nile Tilapia farming face challenges such as feeding inefficiencies due to rough estimation, flooding, evaporation, as well as poor water quality management. The UNESCO SDGs were also prioritized to support Goal 14: Life Below Water. Acidification, applying new sustainable fishing methods, and helping small scale fish farmers were all taken into consideration in developing and conducting this study. This paper documents the design and implementation of the Smart Fish Farm Management System (SFFMS), as an integrated solution to address these challenges and apply modern technology to revolutionize the future of Nile Tilapia Farming. By employing a prototype methodology, this system interprets essential parameters such as dissolved oxygen, pH, turbidity, and total dissolved solids to measure the quality of water and applying water pumps to manage water levels and maintain optimal conditions. It also employs IoT and LoRaWan technology to enhance accessibility and reduce labor costs by automating feeding operations and water maintenance. Test results show that accurate and timely feeding improves water quality and fish growth and minimizes feed wastage thereby lowering the overall operational costs and resulting in greater earnings from bigger fish growth. The maturity and survival rates improved, resulting in higher profits. This study shows that the SFFMS is a practical and flexible model for fish farming. It provides cost-effective and eco-friendly solutions for fish production in the Philippines.