Development of an IoT Based Water Quality Monitoring Device for Domestic Fish Ponds

This study focuses on developing an affordable IoT-based water quality monitoring system for domestic fish ponds. Thesystem aims to enable remote monitoring of critical water parameters, offering real-time data access through mobile or web interfaces.It includes an alert system to notify the pond owners of any significant changes in water quality, allowing swift corrective action. Theinitiative stems from challenges faced by aquaculture farmers due to insufficient knowledge about water pH levels. Understanding pH'simportance, especially within the optimal range of 6.5-9.0 for fish culture, is crucial for success. Tests conducted on the system'sperformance in detecting various pH levels across different pond environments demonstrated its reliability in identifying low andnormal pH levels. However, anomalies were observed in detecting higher pH levels, indicating potential sensitivity limitations that needfurther investigation for system refinement. While the system excelled in detecting low and normal pH levels accurately, improvementsare required for detecting higher pH thresholds to ensure comprehensive monitoring across diverse water conditions. This enhancementis crucial for effective fish pond management and reducing losses for aquaculture farmers.