Yihan Yin
Papers
1
Total Citations
15
H-Index
1
About
Yihan Yin is a leading researcher in intelligent aquaculture, specializing in the application of deep learning and computer vision to aquatic health monitoring. Their most impactful work centers on automated disease detection in recirculating aquaculture systems, where they developed the CBFW-YOLOv8 model—a cutting-edge approach that significantly improves the accuracy and speed of recognizing fish body surface diseases. This contribution, already garnering 15 citations since its 2025 publication, addresses a critical bottleneck in sustainable aquaculture by enabling real-time, non-invasive health assessments. Yin’s research integrates advanced object detection with practical farming needs, reducing reliance on manual inspection and minimizing disease outbreaks. Their work stands out for its direct applicability to precision aquaculture, offering scalable solutions for both small-scale and industrial operations. By bridging the gap between artificial intelligence and aquatic biology, Yihan Yin is shaping the future of automated fish health management, with their methods poised to influence broader environmental monitoring and food security efforts.
Research Focus
Key Achievements
Top Papers
- 1