Papers

5

Total Citations

214

H-Index

3

About

Dr. Haiyan Cen is a leading researcher in agricultural robotics and precision phenotyping, whose work bridges the gap between engineering innovation and practical farming challenges. Her primary research areas include automated crop harvesting, high-throughput plant phenotyping, and intelligent robotic navigation for agricultural environments. Dr. Cen’s most influential contribution is her comprehensive review on the mechanical harvest of fresh market apples (2020, 137 citations), which systematically analyzed technological progress and barriers in automating a historically labor-intensive task—a foundational resource for researchers and industry alike. She further advanced the field with a detailed survey of high-throughput proximal ground crop phenotyping systems (2024, 51 citations), establishing a roadmap for non-destructive, scalable trait measurement. Her recent work on dynamic obstacle avoidance for agricultural robots (2025, 22 citations) introduces a novel dynamic window approach, enhancing real-time navigation safety in complex field settings. Dr. Cen has also pioneered high-throughput detection of tomato architectural traits using unmanned ground vehicles (2024), enabling temporal plant phenotyping for ideotype breeding. With a portfolio spanning from assembly path planning to field robotics, Dr. Cen’s research is driving the next generation of intelligent, data-driven agriculture.

Research Focus

Key Achievements

3
H-Index
5
Papers
214
Total Citations
43
Avg Citations/Paper
🏆 Most Cited Paper
Technology progress in mechanical harvest of fresh market apples
137 citations · 2020
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 26
🏛 Institutions: Zhejiang University, State Key Laboratory of Modern Optical Instruments

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago