- Optimize Fish Feeding and Harvesting: By monitoring fish size, weight, and behavior, the system will provide farmers with precise insights to determine the best feeding schedules and harvest times, enhancing both productivity and product quality.
- Early Disease Detection: Through AI-driven analysis of fish behavior, shape, and color, the system aims to identify early signs of disease or stress, reducing the need for extensive drug treatments and helping to maintain a healthier aquaculture environment.
- Environmental Sustainability: The project seeks to lower production costs and environmental impact by reducing the use of drugs and other chemical treatments, thus fostering sustainable fish farming practices.
- Consumer Trust and Product Traceability: By offering a mobile app that enables consumers to verify the freshness and health of fish, Smart Fish Farming promotes transparency in the supply chain and strengthens consumer trust in aquaculture products.
- Technological Innovation in Aquaculture: The project aspires to pioneer advanced AI, 3D imaging, and hardware-accelerated solutions in fish farming, contributing to the global advancement of smart aquaculture technologies.