Papers
3
Total Citations
150
H-Index
2
About
Dr. Qianwen Li is a leading researcher in agricultural robotics and computer vision, with a focus on intelligent systems for fruit detection, harvesting, and pollination. Her work addresses critical challenges in precision agriculture, particularly in complex orchard and greenhouse environments. Dr. Li’s most impactful contribution is her novel green apple segmentation algorithm based on ensemble U-Net, published in 2020, which has garnered 104 citations for its effectiveness in overcoming natural scene complexities like variable lighting and occlusion. She further advanced the field with her 2020 study on detection and localization of overlapped fruits for apple harvesting robots, cited 44 times, providing essential methods for accurate yield measurement and mechanical harvesting. Most recently, Dr. Li has extended her expertise to controlled-environment agriculture with the design and performance verification of an intelligent pollination robot for facility tomatoes (2025), showcasing her ongoing innovation in robotic systems. Her work is pivotal for automating labor-intensive tasks, enhancing crop yield estimation, and improving the efficiency of fruit harvesting and pollination, making her a key figure in the intersection of robotics, deep learning, and sustainable agriculture.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3