Yinzeng Liu

Shandong Academy of Agricultural Machinery Sciences

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About

Dr. Yinzeng Liu is a leading researcher in agricultural robotics and computer vision, whose work is driving the future of automated fruit harvesting. His primary research areas focus on intelligent perception and robotic manipulation for precision agriculture, specifically addressing the complex challenges of apple harvesting. Dr. Liu’s major contributions include pioneering improvements to deep learning models for fruit recognition, most notably through his work on the YOLOv7 algorithm. His 2023 paper, "Improved Apple Fruit Target Recognition Method Based on YOLOv7 Model," which has garnered 55 citations, tackles the critical issues of high fruit density, occlusion, and overlapping in orchard environments, significantly boosting detection accuracy. Building on this, his 2024 study, "Fruit recognition, task plan, and control for apple harvesting robots," integrates perception with autonomous motion planning, solving the problem of slow and inefficient path planning for multi-DOF robotic arms. This work lays the foundation for more efficient and cost-effective harvesting systems. Dr. Liu’s research is essential reading for students and engineers developing the next generation of intelligent agricultural robots.