Yanqiu Yang
Papers
1
Total Citations
5
H-Index
1
About
Yanqiu Yang is a precision agriculture researcher whose work centers on machine vision and automation for sustainable crop management. Her most notable contribution is the development of a machine vision system for apple bud thinning, a critical task in precision crop load management. By training a YOLOv8-based deep learning model, Yang enabled accurate apple bud detection in complex orchard environments—addressing a longstanding challenge in automating fruit thinning. She also validated a semi-automated branch diameter measurement method that achieves accuracy comparable to manual techniques, paving the way for more efficient, data-driven orchard management. Though her work is early-stage, with her lead paper garnering 5 citations since 2025, Yang’s integration of computer vision with agricultural robotics represents a promising step toward reducing labor costs and improving crop quality. Her research sits at the intersection of artificial intelligence, horticulture, and precision farming, offering practical tools for growers navigating the demands of modern, sustainable agriculture.
Research Focus
Key Achievements
Top Papers
- 1