Linwei Chen
Papers
1
Total Citations
2
H-Index
1
About
Linwei Chen is a researcher at the forefront of agricultural robotics and intelligent monitoring systems, with a primary focus on animal behavior recognition and precision livestock farming. Chen’s most notable contribution is the development of DualHet-YOLO, a pioneering dual-backbone heterogeneous YOLO network designed for inspection robots to autonomously recognize the behavior of yellow-feathered chickens in floor-raised houses. This work directly addresses the critical link between poultry behavior, health status, and environmental comfort, offering a practical solution for improving animal welfare and breeding efficiency. Although recently published in 2025, the paper has already garnered 2 citations, signaling growing interest in Chen’s innovative approach to integrating deep learning with robotics for agricultural applications. By enabling real-time, accurate detection of subtle behavioral cues, Chen’s research provides farmers with actionable insights to optimize flock management. This achievement underscores Chen’s commitment to bridging computer vision and agricultural engineering, making a tangible impact on sustainable and humane food production.
Research Focus
Key Achievements
Top Papers
- 1