Precision Fish Farming to Mitigate Pond Water Quality Through IoT

Monitoring natural water bodies like ponds is cru- cial due to environmental concerns. This study presents a new Pond Water Quality Monitoring System using Internet of Things (IoT) technology and six critical sensors: Dissolved Oxygen (DO), Turbidity, Temperature, pH, Electro Conductivity (EC), and Salinity. Critical sensors monitor water quality in real-time. Sensor data is sent to a cloud platform by microcontrollers via specific communication protocols. Clouds store, analyze, visualize, and interact with data. Stakeholders can monitor pond water quality via a website and Android apps. Graphs, charts, and maps depict temperature, pH, DO, turbidity, EC, and salinity changes in real-time. Users can take immediate action to avoid hazards when any parameter exceeds specified thresholds, thanks to a thorough warning mechanism. System data analysis yields advanced insights. Ecological health and the origins of pollution are shown by water quality data patterns, trends, and anoma- lies. Remote pump, aerator, and dosing device management help maintain ponds with accurate data. IoT-based Pond Water Quality Monitoring System changes pond management. It uses IoT and sensor technologies to inform stakeholders, improve the preservation of the environment, protect aquatic ecosystems for future generations, and enable effective fish farming expansion by monitoring pond water and providing useful insights. The project develops an IoT-based pond water quality monitoring system for mobile and online apps.