Meiqi Xiang
Papers
1
Total Citations
6
H-Index
1
About
Dr. Meiqi Xiang is at the forefront of agricultural robotics, pioneering high-precision computer vision systems that bridge the gap between artificial intelligence and sustainable farming. Her research focuses on developing real-time target detection algorithms for autonomous harvesting robots, with a particular emphasis on overcoming the challenges of complex field environments. In her landmark 2025 study, "Research on High-Precision Target Detection Technology for Tomato-Picking Robots in Sustainable Agriculture," Dr. Xiang achieved a significant breakthrough by modifying the Single Shot MultiBox Detector (SSD) model to deliver both exceptional accuracy and rapid processing speeds—a critical requirement for practical deployment. This work, already accumulating 6 citations shortly after publication, addresses one of the most pressing bottlenecks in agricultural automation: enabling robots to reliably identify and localize ripe fruit amidst variable lighting, occlusions, and dense foliage. By advancing the state-of-the-art in visual perception for precision agriculture, Dr. Xiang is not only accelerating the transition toward fully mechanized farming but also contributing directly to more sustainable food production systems. Her innovative approach to integrating deep learning with robotic manipulation positions her as a rising leader in the field of intelligent agriculture.
Research Focus
Key Achievements
Top Papers
- 1