Pengfei Fan

Papers

1

Total Citations

35

H-Index

1

About

Pengfei Fan is a leading researcher in agricultural robotics, with a primary focus on intelligent harvesting systems for specialty crops. His most influential work centers on the design and testing of robotic harvesters for fresh-eating cherry tomatoes, a crop where manual labor remains a significant bottleneck in production. Fan’s landmark 2018 study, cited 35 times, introduced a complete robotic harvesting system integrating stereo vision, a specialized end-effector, a manipulator, a fruit collector, and a railed vehicle. This work directly addresses the challenge of mechanically harvesting delicate, cluster-grown fruits without damage—a problem that had long resisted automation. Beyond this flagship contribution, Fan’s research advances the broader field of precision agriculture by developing vision-guided manipulation strategies that balance speed, accuracy, and crop safety. His systems are notable for their practical, field-ready designs, moving robotic harvesting from laboratory concepts toward commercial viability. Through his innovative integration of computer vision and soft robotics, Fan is helping to reshape the future of sustainable food production, reducing labor costs and improving efficiency for high-value horticultural crops.

Research Focus

Key Achievements

1
H-Index
1
Papers
35
Total Citations
35
Avg Citations/Paper
🏆 Most Cited Paper
Design and test of robotic harvesting system for cherry tomato
35 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago