About

Quan Qiu is a pioneering researcher at the intersection of agricultural robotics, computer vision, and precision farming technology. His work spans three interconnected domains: robotic harvesting systems, high-throughput crop phenotyping, and autonomous agricultural mobile platforms — all aimed at addressing the urgent global challenge of scaling food production amid a rapidly growing population. Qiu's early contributions focused on strawberry harvesting robotics, with two influential 2012 papers (totaling over 120 citations) establishing foundational designs for automated fruit picking in elevated-trough and table-top cultivation systems. He later advanced the field significantly through innovative fruit detection methods, including a frustum-based point cloud approach for localizing occluded apples (79 citations) and a hybrid uncalibrated visual servoing control system for harvesting robots with RGB-D cameras. His phenotyping research is equally impactful. A 2019 study deploying 3D LiDAR aboard a "Phenomobile" for field-based maize analysis garnered 118 citations, establishing him as a leader in high-throughput plant measurement technology. His work on agricultural mobile robots, including an Extended Ackermann steering platform and four-wheel-drive field robots, further demonstrates his commitment to end-to-end automation in real-world farming environments. Across his portfolio, Qiu's research reflects a consistent vision: intelligent, sensor-rich robotic systems capable of transforming modern agriculture.

Research Focus

Key Achievements

11
H-Index
27
Papers
578
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Field-Based High-Throughput Phenotyping for Maize Plant Using 3D LiDAR Point Cloud Generated With a “Phenomobile”
118 citations · 2019
📈 Most Prolific Year: 2022 (6 Papers)
🤝 Key Collaborators: 47
🏛 Institutions: Oklahoma State University, Beijing Institute of Petrochemical Technology, National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agricultural and Forestry Sciences, Chinese Academy of Sciences, Beijing Automation Control Equipment Institute

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago