Xiang-Ning Nie
Papers
1
Total Citations
79
H-Index
1
About
Xiang-Ning Nie is a leading researcher in agricultural robotics and computer vision, with a primary focus on intelligent fruit detection and localization in natural environments. His most impactful work, the 2022 study "Pineapple (Ananas comosus) fruit detection and localization in natural environment based on binocular stereo vision and improved YOLOv3 model," has garnered 79 citations, demonstrating its significant influence on precision agriculture. Nie's major contribution lies in integrating binocular stereo vision with an enhanced YOLOv3 deep learning model to achieve accurate, real-time fruit identification and three-dimensional positioning under challenging field conditions—such as variable lighting and occlusions. This work provides a robust foundation for automated harvesting systems, reducing reliance on manual labor and improving efficiency in pineapple cultivation. Beyond this flagship study, Nie continues to advance sensor fusion and deep learning techniques for agricultural applications, bridging the gap between computer vision research and practical farming needs. His research is essential reading for students and engineers developing next-generation agricultural robots, offering both theoretical insights and deployable solutions for smart farming.
Research Focus
Key Achievements
Top Papers
- 1