Juan Feng

Hebei Agricultural University, China Agricultural University

Papers

Total Citations

211

H-Index

About

Dr. Juan Feng has pioneered the application of computer vision and machine learning to precision agriculture, with a primary focus on automated fruit harvesting. Her research centers on developing robust algorithms and sensor systems that enable robots to accurately detect, recognize, and locate apples in complex orchard environments. A landmark contribution is her 2015 work on "Location of apples in trees using stereoscopic vision," which has garnered 109 citations for solving the critical challenge of 3D fruit positioning. She further advanced the field with her 2019 study on "Apple Fruit Recognition Algorithm Based on Multi-Spectral Dynamic Image Analysis" (83 citations), which addressed the persistent difficulty of reliable fruit detection under varying lighting and occlusion conditions. Dr. Feng also developed innovative techniques for separating adjacent apples using machine vision and chain code information, as well as a novel 3D laser vision system for robotic harvesting. Her integrated approach—combining stereoscopic, multi-spectral, and laser-based imaging—has laid essential groundwork for the next generation of autonomous agricultural robots, directly contributing to reducing production costs and improving harvest quality.