AI-Driven IoT System for Real-Time Fish Behaviour Monitoring and Automated Feeding in Smart Aquaculture

This paper aims at the method of overcoming inefficiency and ecological problems as well as labor scarcity in existing aquaculture with the help of IoT-based Intelligent Aquaculture System. IoT sensors, AI analytics and automated control are woven in the system to take overall feeding, water quality and fish health management. Major takeaways: cut feed water by 20-30%, fish growth rates up 10-15%, fish mortality rate could go down to 10-20%, manual operations carrying 30-50% based reduction, and also energies consumption could reduce with another 20-30%. The real-time monitoring and the automated response to deviations from set point of the system considerably improves productivity as well as reduces operating costs enabling sustainable aquaculture. In this research, the transformative potential of combining AI and IoT in smartening-up of aquaculture practices for global food security is demonstrated.