Jianfeng Qiu

Taishan Medical University, Shandong First Medical University

Papers

Total Citations

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About

Dr. Jianfeng Qiu is a leading researcher in agricultural robotics and computer vision, with a focused expertise in developing intelligent systems for automated fruit harvesting. His major contributions lie at the intersection of deep learning and robotic control, specifically addressing the critical challenges of fruit detection and efficient manipulation in complex orchard environments. His most impactful work, "Improved Apple Fruit Target Recognition Method Based on YOLOv7 Model" (2023), has garnered 55 citations by pioneering a novel preprocessing algorithm to overcome the persistent problems of fruit occlusion and high density, significantly enhancing detection accuracy for harvesting robots. Building on this, his 2024 study on "Fruit recognition, task plan, and control for apple harvesting robots" introduces an autonomous framework that integrates vision-based recognition with optimized motion planning for multi-DOF manipulators, tackling the slow and inefficient path planning that has long hindered practical deployment. Through these contributions, Dr. Qiu is advancing the frontier of precision agriculture, creating more reliable and efficient robotic systems that promise to transform labor-intensive harvesting operations.