Weihan Lin
Papers
1
Total Citations
11
H-Index
1
About
Weihan Lin is a researcher at the forefront of agricultural robotics and intelligent automation, with a primary focus on applying deep learning and computer vision to solve practical challenges in livestock farming. His most cited work, "Research on an Identification and Grasping Device for Dead Yellow-Feather Broilers in Flat Houses Based on Deep Learning" (2024, 11 citations), addresses a critical bottleneck in large-scale, welfare-oriented broiler breeding: the timely detection and removal of dead birds. Lin’s major contribution lies in the meticulous design of a mobile, vision-guided grasping device that integrates deep learning algorithms for real-time identification, enabling autonomous, hygienic removal without human intervention. This innovation directly enhances biosecurity, reduces labor costs, and improves animal welfare standards in flat-house environments. By bridging the gap between advanced AI techniques and practical agricultural machinery, Lin’s work demonstrates a clear path toward smarter, more sustainable poultry farming systems. His research not only provides a scalable solution for an urgent industry need but also sets a foundation for future developments in precision livestock farming and robotic animal husbandry.
Research Focus
Key Achievements
Top Papers
- 1