Mr. Chengbiao Tong | Engineering | Research Excellence Award
Professor | Hunan Agricultural University | China
Dr. Chengbiao Tong is a researcher at Hunan Agricultural University specializing in intelligent aquaculture, computer vision, and deep-learning-based environmental monitoring. He has contributed a growing body of scientific work, with publications advancing automated recognition systems, image-based analysis, and smart farming technologies. His research has accumulated meaningful citations and demonstrates increasing visibility within the agricultural technology community. Dr. Tong actively collaborates with multidisciplinary teams and co-authors, supporting innovation at the intersection of artificial intelligence and modern aquaculture. His work on YOLO-based detection models, including applications for fish health monitoring, contributes to improving sustainability, efficiency, and early-warning capabilities in aquatic farming systems. Through his research, he promotes data-driven decision-making and enhances the technological transformation of agriculture.
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Featured Publications
Design and application of new aeration device based on recirculating aquaculture system
– Applied Sciences, 2024
Developing a dead fish recognition model based on an improved YOLOv5s model
– Applied Sciences, 2025
Application of SaRT–SVM algorithm for leakage pattern recognition of hydraulic check valves
– Soft Computing, 2024
Principle and performance validation of Search and Rescue Team algorithm
– Journal of Mechanical Science and Technology, 2024
