Yichen Ban

Beijing Forestry University, Research Institute of Forestry

Papers

Total Citations

H-Index

About

Yichen Ban is a rising researcher in agricultural robotics and intelligent automation, with a focus on precision forestry and fruit harvesting technologies. Their work bridges computer vision, biomechanics, and robotic design to address critical challenges in sustainable agriculture and forestry management. Ban’s most cited paper, “Selective fruit harvesting prediction and 6D pose estimation based on YOLOv7 multi-parameter recognition” (2024, 18 citations), introduces a novel deep-learning framework that enhances robotic fruit picking accuracy by integrating multi-parameter recognition with 6D pose estimation—a significant step toward reducing crop waste and labor dependency. Another influential contribution, “Monkeybot: A Climbing and Pruning Robot for Standing Trees in Fast-Growing Forests” (2022, 9 citations), presents an innovative robot designed to safely and efficiently prune standing trees, addressing the high-risk, low-efficiency nature of traditional methods. Ban’s recent work, “Finite element modeling of the biomechanical properties of Populus tomentosa branches and analysis of pruning mechanisms” (2025), further demonstrates their interdisciplinary approach, combining structural analysis with robotic pruning optimization. With a growing citation record and a clear trajectory toward impactful, real-world applications, Yichen Ban is establishing themselves as a key contributor to the future of automated agriculture and forestry.