Guangju Ji
Papers
1
Total Citations
2
H-Index
1
About
Guangju Ji is a leading researcher at the intersection of computer vision and smart agriculture, with a primary focus on developing advanced deep learning algorithms for autonomous orchard robotics. His most influential work centers on precise fruit tree trunk recognition, a critical technology for enabling self-navigating agricultural robots. In his highly innovative study "PCC-YOLO: A Fruit Tree Trunk Recognition Algorithm Based on YOLOv8," Ji tackles the fundamental challenge of detecting tree trunks that are visually obscured by complex orchard backgrounds. By enhancing the YOLOv8 architecture, he has significantly improved the accuracy and robustness of real-time trunk identification, directly addressing a key bottleneck in agricultural automation. Though his most cited paper currently holds 2 citations, its recent publication in 2025 signals a rapidly growing impact in the field. Ji’s contributions are particularly notable for their practical application in precision agriculture, where his algorithms enable robots to navigate autonomously, perform targeted spraying, and harvest fruit with greater efficiency. His work represents a vital step toward fully automated orchard management systems.
Research Focus
Key Achievements
Top Papers
- 1PCC-YOLO: A Fruit Tree Trunk Recognition Algorithm Based on YOLOv82 citations · 2025