Papers
1
Total Citations
23
H-Index
1
About
Lumei Tang is a researcher at the forefront of precision agriculture and computer vision, with a focus on automating horticultural processes. Her work centers on developing intelligent systems for plant recognition and handling, particularly for leafy vegetable seedlings. Tang’s most-cited paper, "Edge recognition and reduced transplantation loss of leafy vegetable seedlings with Intel RealSense D415 depth camera" (2022, 23 citations), introduces a novel method using depth-sensing technology to identify seedling edges and minimize damage during automated transplantation. This contribution directly addresses a critical bottleneck in greenhouse automation—reducing mechanical injury and improving transplant survival rates. By integrating affordable, off-the-shelf hardware like the Intel RealSense camera with edge-detection algorithms, Tang’s research offers a practical, scalable solution for smart farming. Her work has been cited by peers exploring robotics in agriculture, underscoring its relevance to reducing labor costs and enhancing crop yield. Tang’s achievements highlight her role in bridging computer vision and agricultural engineering, making her a notable figure in the push toward data-driven, sustainable food production.
Research Focus
Key Achievements
Top Papers
- 1