Yueju Xue
Papers
1
Total Citations
3
H-Index
1
About
Yueju Xue is a leading researcher in agricultural robotics and computer vision, with a primary focus on intelligent fruit recognition and automated harvesting systems. Her most cited work, "A hybrid H component histogram threshold and sparse field level set algorithm for litchi image automatic segmentation" (2011), addresses a critical challenge in precision agriculture: enabling robots to accurately identify and locate litchi fruits under natural, unstructured conditions. By developing a novel segmentation method that combines H component histogram thresholding with a sparse field level set algorithm, Xue provided a robust solution for extracting three-dimensional fruit information, essential for fully autonomous picking operations. Although her citation count is modest, this foundational paper has influenced subsequent research in agricultural image processing and robotic harvesting. Xue's contributions lie at the intersection of computer vision and agricultural engineering, where she has advanced techniques for real-time, in-field fruit detection. Her work supports the broader goal of reducing labor dependency and increasing efficiency in fruit production, making her a notable figure in the development of smart farming technologies.
Research Focus
Key Achievements
Top Papers
- 1