Yingyan Yang

Ministry of Agriculture and Rural Affairs, China Agricultural University

Papers

Total Citations

H-Index

About

Yingyan Yang is a leading researcher in agricultural robotics and computer vision, with a focused expertise on developing intelligent perception systems for autonomous harvesting. Her work bridges the gap between machine learning and precision agriculture, particularly in fruit detection and localization. Yang’s most influential contribution is her 2023 paper on vision-based fruit recognition and positioning technology for harvesting robots, which has garnered 68 citations—a strong indicator of its impact on the field. This work addresses critical challenges in real-time fruit identification and spatial mapping, enabling robots to accurately locate and pick crops. She further advanced the domain with her 2022 study on multi-growth period tomato fruit detection using an improved YOLOv5 algorithm, demonstrating how deep learning can enhance recognition speed and accuracy across different ripening stages, a key requirement for efficient hand-eye coordination in picking robots. Yang’s research is pivotal for mechanized agricultural production, offering scalable solutions that reduce labor dependency and improve yield efficiency. Her achievements position her as a notable contributor to the next generation of smart farming technologies.