Qiu Ming

Papers

Total Citations

H-Index

About

Qiu Ming is a dedicated researcher in agricultural robotics and the Internet of Things (IoT), with a primary focus on intelligent picking systems. Their most-cited work, "Research on Picking Identification and Positioning System Based on IOT" (2018, 9 citations), addresses a critical challenge in precision agriculture: the accurate identification and spatial localization of target fruits for robotic harvesting. By integrating binocular vision systems with camera calibration techniques, Qiu Ming developed a dual-pronged hardware-software approach that enhances the reliability of fruit detection and positioning. This contribution is foundational for advancing autonomous picking robots, reducing reliance on manual labor, and improving harvest efficiency. While their citation count reflects a growing niche impact, the work stands out for its practical integration of IoT connectivity with real-time vision processing—a key step toward smart farming. Qiu Ming’s research continues to influence the design of cost-effective, sensor-driven agricultural systems, bridging the gap between theoretical computer vision and deployable robotic solutions. Their efforts underscore a commitment to solving real-world agricultural bottlenecks through interdisciplinary innovation.