Implementing Robotic Arm for Efficient and Reliable Water Quality Monitoring in Aquaculture

This study introduces an IoT-enabled robotic arm system designed to improve water quality monitoring in aquaculture. The main goal is to automate the process and enhance the reliability and efficiency of monitoring critical parameters-pH, temperature, and Total Dissolved Solids (TDS)-which are essential for maintaining fish health and sustainability in aquaculture settings. Utilizing a pH sensor, temperature sensor, and TDS sensor, the system integrates with AWS Cloud to facilitate real-time data monitoring accessible on smartphones. The robotic arm selectively immerses the pH sensor, addressing concerns about longevity by reducing continuous exposure to water, while the other sensors remain submerged for consistent readings. Testing was carried out in a controlled fishpond environment, revealing an average daily pH of 8.66, a temperature of 25.22°C, and a TDS level of 268.74 ppm, all demonstrating high measurement precision and consistency. A comparative analysis with manual readings indicated that the robotic arm produces more stable and reliable measurements, highlighting its potential for scalable application in aquaculture management. This innovative approach effectively combines IoT technology with robotic automation, significantly enhancing aquaculture productivity by ensuring optimal water quality.