Xiaorong Wang
Papers
1
Total Citations
20
H-Index
1
About
Dr. Xiaorong Wang is a leading researcher in agricultural robotics and precision sensing, with a primary focus on intelligent vision systems for automated fruit harvesting. Her most cited work, "Recognition and Positioning of Strawberries Based on Improved YOLOv7 and RGB-D Sensing" (2024, 20 citations), addresses a critical bottleneck in agricultural automation: the speed and accuracy of plant recognition. Dr. Wang’s major contribution lies in enhancing the YOLOv7 deep learning architecture to detect elevated-substrate strawberries and their precise picking points, integrating RGB-D sensing for three-dimensional spatial positioning. This innovation enables strawberry-picking robots to operate with greater efficiency and reliability, reducing damage to delicate crops. Her research directly advances the field of precision agriculture by bridging computer vision and robotic manipulation. With 20 citations in a short period, her work is gaining rapid traction among scholars developing harvesting automation. Dr. Wang’s achievements are notable for their practical impact, offering a scalable solution to labor shortages in horticulture. Her ongoing work continues to refine real-time detection algorithms, positioning her as a key contributor to the next generation of intelligent agricultural systems.
Research Focus
Key Achievements
Top Papers
- 1