Hongping Zhou
Papers
5
Total Citations
60
H-Index
3
About
Hongping Zhou is an emerging researcher specializing in agricultural robotics, computer vision, and precision automation for fruit harvesting. His work centers on developing intelligent systems to address labor shortages and inefficiencies in harvesting economically significant crops, with a particular focus on *Camellia oleifera* — a high-value oil-producing plant — and exotic fruits such as dragon fruit (pitaya). Zhou's most impactful contributions include pioneering 3D positioning techniques for robotic fruit-grabbing, garnering 28 citations, and the development of CO-YOLO, a lightweight deep learning model for real-time *Camellia oleifera* fruit detection and posture estimation, which has already attracted 25 citations since its 2025 publication. His path-planning research introduces the innovative XN-RRT* algorithm, improving harvesting success rates in complex environments through adaptive normal-distribution sampling. Beyond robotics, Zhou has broadened his scope to nondestructive quality evaluation technologies, reflecting a holistic approach to agricultural intelligence. With over 60 citations accumulated primarily within one to two years, Zhou's rapidly growing influence signals strong momentum in smart agriculture research. His integrated approach — spanning perception, planning, and mechanical design — positions him as a notable contributor to the future of autonomous agricultural systems.
Research Focus
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