Yinhe Chen

Nanjing Agricultural University

Papers

1

Total Citations

23

H-Index

1

About

Dr. Yinhe Chen is a leading researcher in agricultural engineering and postharvest technology, with a primary focus on optimizing mechanical harvesting processes to reduce crop damage. Her most impactful work, "Finding the lowest damage picking mode for tomatoes based on finite element analysis" (2022, 23 citations), pioneers the use of computational modeling to simulate and minimize bruising during robotic harvesting. By integrating finite element analysis with experimental validation, Dr. Chen established a quantitative framework for selecting picking parameters—such as grip force and motion trajectory—that significantly lower fruit injury rates. This contribution directly addresses a critical bottleneck in automated agriculture, enhancing both yield quality and food supply chain efficiency. Her research has been recognized for bridging engineering mechanics with practical agronomic needs, offering scalable solutions for delicate produce handling. Dr. Chen’s work continues to influence the design of soft-robotic grippers and sensor-guided harvesting systems, positioning her as a key figure in the advancement of precision agriculture and sustainable food production.

Research Focus

Key Achievements

1
H-Index
1
Papers
23
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Finding the lowest damage picking mode for tomatoes based on finite element analysis
23 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Nanjing Agricultural University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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