Mingfu Zhao

Henan Institute of Science and Technology, Chinese Academy of Sciences, Chongqing University of Technology

Papers

Total Citations

108

H-Index

About

Mingfu Zhao is a researcher at the intersection of intelligent agriculture, medical robotics, and deep learning, whose work bridges precision sensing and automated detection. His most-cited paper, “Lightweight SM-YOLOv5 Tomato Fruit Detection Algorithm for Plant Factory” (58 citations), addresses a critical bottleneck in smart agriculture by developing a compact, efficient neural network for real-time fruit detection on resource-constrained devices—enabling robots and mobile terminals to support precision farming. In “Tactile Perception Technologies and Their Applications in Minimally Invasive Surgery: A Review” (40 citations), Zhao systematically surveys tactile sensing innovations that restore haptic feedback in MIS, a key limitation impairing surgeons’ tissue discrimination and dexterity. His recent work, “Automatic Curtain Wall Frame Detection Based on Deep Learning and Cross-Modal Feature Fusion” (10 citations), extends his expertise to construction automation, fusing visual and depth data for robust structural detection. With over 100 combined citations, Zhao’s contributions demonstrate a consistent focus on deploying lightweight, accurate models for real-world sensing challenges—from greenhouse harvests to surgical suites—showcasing his impact in making intelligent systems both practical and accessible.