Dongyan Zhang

Anhui University, Northwest A&F University

Papers

Total Citations

149

H-Index

About

Dongyan Zhang is a leading researcher in agricultural robotics and precision farming, with a focus on computer vision and deep learning for autonomous navigation. Their work addresses critical challenges in visual navigation technology for agricultural robots, particularly in corn field environments. Zhang's major contributions include developing advanced neural network architectures for crop row recognition and navigation line extraction. Their most impactful work, "Navigation line extraction algorithm for corn spraying robot based on improved YOLOv8s network," has garnered 73 citations, while their "Maize crop row recognition algorithm based on improved UNet network" has received 60 citations. These algorithms enable robots to accurately identify crop rows and navigate through fields autonomously. Zhang's recent breakthrough, published in 2024, tackles the particularly challenging problem of recognizing corn crop rows during different growth stages using a novel ST-YOLOv8s network. This work addresses a major difficulty in agricultural robotics: maintaining navigation accuracy as crops change appearance throughout their growth cycle. With over 149 total citations across their most-cited works, Zhang's research is advancing the practical deployment of autonomous agricultural robots for precision farming operations.