Bohan Yuan

Papers

Total Citations

H-Index

About

Bohan Yuan is a researcher at the forefront of agricultural automation and computer vision, with a primary focus on developing lightweight, high-efficiency detection models for precision agriculture. His most notable contribution is the design of an improved YOLOv5-based method for tea bud detection, a breakthrough that addresses the critical need for automated, intelligent tea plucking. By significantly reducing model complexity and computational cost while maintaining high accuracy, Yuan’s work directly enhances labor efficiency and picking precision in tea cultivation. This study, published in 2024, has already garnered 7 citations, reflecting its immediate relevance and impact in the field. Yuan’s research bridges the gap between deep learning and practical agricultural robotics, offering scalable solutions for real-time crop monitoring. His achievements are particularly valuable for researchers and engineers working on edge-deployable AI systems in agriculture, where resource constraints are a major challenge. Through his innovative approach, Yuan is helping to drive the next generation of smart farming technologies.