Papers

1

Total Citations

11

H-Index

1

About

Dr. Yarong Tan is a leading researcher at the intersection of agricultural robotics and artificial intelligence, with a primary focus on deep learning applications for precision agriculture. Her most cited work, "A Review of Research on Fruit and Vegetable Picking Robots Based on Deep Learning" (2025, 11 citations), provides a comprehensive synthesis of how intelligent systems are revolutionizing crop harvesting. Dr. Tan’s major contribution lies in bridging the gap between fragmented studies on object detection, classification, and robotic manipulation, offering a unified framework that highlights the potential of deep learning to enhance the efficiency, accuracy, and autonomy of picking robots. Her review critically analyzes challenges such as occluded fruit detection and real-time decision-making, while outlining future directions for agricultural modernization. Though early in her citation trajectory, her work has already become a foundational reference for researchers exploring AI-driven automation in farming. Dr. Tan’s research is particularly notable for its interdisciplinary approach, combining computer vision, robotics, and agronomy to address pressing labor shortages and food production demands. Her insights are paving the way for smarter, more sustainable agricultural practices.

Research Focus

Key Achievements

1
H-Index
1
Papers
11
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
A Review of Research on Fruit and Vegetable Picking Robots Based on Deep Learning
11 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Beijing Academy of Agricultural and Forestry Sciences

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago