Longshen Liu
Papers
3
Total Citations
40
H-Index
3
About
Longshen Liu is a rising researcher at the forefront of agricultural robotics and intelligent livestock management. His work centers on developing computer vision and autonomous navigation systems to solve pressing challenges in precision farming, particularly for poultry and swine operations. Liu’s most impactful contribution is the YOLOv8-PG model, a lightweight deep learning architecture for real-time pigeon egg detection that directly addresses the high breakage rates and labor costs in egg-producing pigeon farms—a paper that has already garnered 20 citations since its 2024 publication. He further advanced animal behavior monitoring with a novel detection method for sows and piglets during lactation, integrating inspection robots for automated health surveillance. Liu has also pioneered immersive human-robot interfaces for agricultural mobile robots, using Kinect-style depth cameras and virtual reality to enable intuitive 3D mapping and control in unstructured farm environments. His work demonstrates a clear trajectory toward scalable, cost-effective automation in agriculture, with each publication building a bridge between cutting-edge AI and practical on-farm applications.
Research Focus
Key Achievements
Top Papers
- 1Improved YOLOv8 Model for Lightweight Pigeon Egg Detection20 citations · 2024
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