iPond: An Internet of Things–Based Water Quality Monitoring System for Fishpond

The cultivation of aquatic species faces a significant challenge due to water quality degradation, which impacts farming operations and poses a threat to livelihoods. To contribute to advancing aquaculture informatics and enabling more precise and convenient monitoring of aquaculture ponds, this study introduces an IoT-based Water Quality Monitoring System for Fishponds. This system is designed to measure pH and salinity values in real-time, aiming to address the pressing need for continuous monitoring and management of water quality parameters for cultivating milkfish (Chanos chanos). Users can remotely access and control measurements by integrating the prototype with the Blynk IoT system, ensuring that water quality remains within optimal thresholds or 6.5 to 8.5 pH for acidity and 18 to 29 ppt for salinity. In addition, the system is equipped with an alert system to notify end-users when the parameters exceed predetermined limits promptly. The prototype received an average functionality score of 4.325 and an efficiency score of 4.13. The error percentages recorded were 0.027% for acidity, 0.187% for salinity, and 4.36% for overall effectiveness. This system enhances cultivation security, enabling farmers to make informed decisions and take timely actions to maintain optimal water quality conditions in fishponds.