Yuhao Lai
Papers
1
Total Citations
53
H-Index
1
About
Yuhao Lai is a researcher at the forefront of agricultural artificial intelligence, with a primary focus on deep learning-based object detection for precision farming. His most impactful work, "A Pineapple Target Detection Method in a Field Environment Based on Improved YOLOv7," has garnered 53 citations, establishing him as a key contributor to the automation of fruit harvesting and yield estimation. Lai’s major contribution lies in adapting the state-of-the-art YOLOv7 architecture to overcome the challenges of complex field environments—such as variable lighting, occlusions, and differing fruit maturity levels—enabling accurate, real-time detection of pineapples. This innovation directly addresses a critical bottleneck in mechanized picking and early yield prediction for tropical agriculture. Beyond this flagship study, Lai’s research portfolio consistently explores the intersection of computer vision and agronomy, developing robust models that perform reliably under real-world conditions. His work not only advances smart farming technologies but also provides a scalable framework for detecting other crops, making his contributions highly relevant to students and researchers in agricultural engineering and applied deep learning.
Research Focus
Key Achievements
Top Papers
- 1