IoT-Based Smart Biofloc Monitoring System for Fish Farming Using Machine Learning

The main objective is to monitor and maintain optimal conditions in biofloc fish farming using IoT sensors and machine learning. The system uses sensors like pH, temperature, dissolved oxygen, and turbidity to collect real-time water quality data, which is analyzed to ensure healthy fish growth and automate alerts for abnormal conditions. .