Guoping Lian

University of Surrey

Papers

2

Total Citations

655

H-Index

2

About

Dr. Guoping Lian is a pioneering researcher at the intersection of agricultural robotics and computer vision, whose work is transforming precision harvesting. His primary research areas include machine vision, 3D perception, and intelligent automation for complex agricultural environments. Dr. Lian’s most significant contribution is his comprehensive review on recognition and localization methods for vision-based fruit picking robots, which has garnered over 546 citations—a testament to its foundational role in the field. This work systematically addresses how machine vision algorithms enhance the efficiency, functionality, and remote interactivity of harvesting robots. He further advanced the domain with his innovative study on three-dimensional perception of orchard banana central stocks, using adaptive multi-vision technology (109 citations), which solved critical challenges in occluded and unstructured agricultural settings. Dr. Lian’s research directly bridges the gap between theoretical computer vision and practical agricultural automation, enabling robots to perceive and interact with crops more reliably. His achievements are not only academically influential but also hold immense potential for sustainable, high-tech agriculture, making him a key figure in the future of smart farming.

Research Focus

Key Achievements

2
H-Index
2
Papers
655
Total Citations
328
Avg Citations/Paper
🏆 Most Cited Paper
Recognition and Localization Methods for Vision-Based Fruit Picking Robots: A Review
546 citations · 2020
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: University of Surrey

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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