Li Jiehao
Papers
1
Total Citations
3
H-Index
1
About
Li Jiehao is a researcher at the forefront of agricultural robotics and computer vision, specializing in lightweight, real-time object detection for precision farming. His most notable contribution is the development of the YOLO-v5sp framework, a highly efficient deep learning model tailored for pineapple detection in agricultural robots. This work, published in 2025, has already garnered 3 citations, reflecting its immediate relevance in the field. Li’s research addresses critical challenges in automated agriculture, such as balancing detection accuracy with computational efficiency for resource-constrained robotic platforms. By optimizing the YOLO architecture, he enables robots to identify and localize pineapples in complex orchard environments, reducing processing time and energy consumption. This innovation has significant implications for smart farming, including improved yield estimation, selective harvesting, and reduced labor costs. Li Jiehao’s work exemplifies the integration of cutting-edge AI with practical agricultural needs, positioning him as an emerging leader in the intersection of robotics, computer vision, and sustainable agriculture. His framework serves as a benchmark for future lightweight detection systems in agricultural robotics.
Research Focus
Key Achievements
Top Papers
- 1