IoT Based Fish Pond Monitoring System to Enhance Its Productivity

This project introduces an IoT-based fish pond monitoring system designed to enhance productivity by ensuring optimal water quality conditions essential for fish health and growth. The system employs a suite of sensors to measure critical water parameters, including Total Dissolved Solids (TDS), turbidity, temperature (via a Dallas sensor), and pH. These sensor readings are continuously transmitted to a Python-based platform, where a machine learning algorithm analyses the data to assess water quality and detect any anomalies. When parameter values fall outside safe thresholds, the system triggers alerts through a buzzer and sends notifications via the connected Arduino. Furthermore, all data and predictions are uploaded to the Thing Speak IoT webserver for remote access and visualization. By integrating monitoring, intelligent analysis, and IoT connectivity, this system offers a proactive approach to maintaining optimal pond conditions, ultimately supporting healthier aquatic life and improving overall pond productivity.