The Smart Fish Farming project is a collaborative effort involving leading Greek academic institutions with expertise in aquaculture, embedded systems, and AI technologies:
- University of Peloponnese (UoP): As the host institution, UoP brings expertise in embedded systems and hardware-accelerated AI applications. The team at the Embedded Systems and Design Automation Lab (ESDALAB) leads the development of the project’s digital and hardware components, including AI models, image processing algorithms, and FPGA implementations. Their role is crucial in ensuring that the system meets the real-time processing requirements of large-scale fish monitoring.
- University of Patras (UPAT): The Department of Fisheries and Aquaculture at UPAT contributes extensive experience in fish biology, aquaculture technology, and underwater monitoring systems. UPAT’s role includes setting system specifications, defining the fish farming testbed, and evaluating the system’s effectiveness in real-world conditions. UPAT also leads the project’s evaluation phase, testing the accuracy and reliability of the monitoring system under various conditions.
The consortium’s combined expertise in embedded systems, AI, and aquaculture will enable the successful development and deployment of Smart Fish Farming, setting a benchmark for innovative and sustainable aquaculture practices.