Jiaying Fu

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About

Jiaying Fu is a rising researcher at the intersection of aquaculture engineering, computer vision, and agricultural robotics. Her work focuses on developing autonomous systems to address critical challenges in sea-based fish farming and seafood processing. In her highly cited 2024 review, “Autonomous net inspection and cleaning in sea-based fish farms,” Fu systematically surveyed the state of the art in robotic solutions for maintaining submerged net pens—a vital but hazardous task for the industry. This work has already garnered 11 citations, establishing a foundation for future automation in offshore aquaculture. Complementing this, Fu’s research on “Real-time tilapia fillet defect segmentation on edge device for robotic trimming” demonstrates her commitment to deploying AI directly on resource-constrained hardware. By enabling a robotic system to identify and segment defects in fish fillets in real time, she is paving the way for cost-effective, high-speed quality control in seafood processing plants. Her dual focus on both the production and post-harvest stages of aquaculture highlights a comprehensive approach to modernizing the seafood supply chain. With these early, impactful contributions, Jiaying Fu is establishing herself as a key voice in the growing field of smart aquaculture.