Mark John Lado

Development of an Arduino-Based Sensor Network for Monitoring Water Parameters in Tilapia Traponds

Aquaculture, particularly tilapia farming, plays a crucial role in meeting the increasing global demand for fish protein. As the aquaculture industry continues to expand, it becomes imperative to ensure optimal water quality conditions in fish farming systems. Water parameters, such as temperature, pH, dissolved oxygen, and ammonia are vital indicators of the aquatic environment's health and directly influence the growth, reproduction, and overall well-being of fish populations. Traditional methods of monitoring water parameters in aquaculture involve manual sampling and laboratory analysis, which can be time-consuming, labor-intensive, and costly. To address these limitations, technological advancements offer promising alternatives for real-time monitoring and data collection. The Arduino platform, with its open-source nature and compatibility with various sensors and modules, presents an accessible and flexible solution for designing cost-effective monitoring systems.