Papers
1
Total Citations
58
H-Index
1
About
Dr. Canlin Pan is a leading researcher in precision agriculture and intelligent vision systems, with a primary focus on developing lightweight, high-efficiency deep learning models for real-time crop monitoring. His most notable contribution is the creation of the SM-YOLOv5 algorithm, a groundbreaking tomato fruit detection method optimized for plant factory environments. This work, which has garnered 58 citations since its 2023 publication, addresses the critical challenge of deploying accurate object detection on resource-constrained devices like agricultural robots and mobile terminals. By significantly reducing model complexity while maintaining detection precision, Dr. Pan’s research directly enables the practical implementation of smart agriculture technologies. His work is foundational for advancing intelligent farming systems, where rapid, on-device fruit detection is essential for automated harvesting, yield estimation, and plant health monitoring. Dr. Pan’s contributions bridge the gap between cutting-edge computer vision and real-world agricultural applications, making him a key figure in the movement toward fully automated, data-driven plant factories.
Research Focus
Key Achievements
Top Papers
- 1Lightweight SM-YOLOv5 Tomato Fruit Detection Algorithm for Plant Factory58 citations · 2023