Yapeng Zhang

Wuhan Textile University, Northeastern University

Papers

Total Citations

H-Index

About

Yapeng Zhang is a researcher at the forefront of agricultural robotics, specializing in computer vision and deep learning for automated fruit and egg harvesting. Their work focuses on overcoming the challenges of visual detection and positioning in complex, unstructured environments, such as orchards and chicken farms. Zhang’s major contributions include developing instance segmentation methods for detecting and counting overlapped apples, a critical step for enabling picking robots to operate accurately in dense foliage. Their 2022 paper on this topic has garnered 5 citations, reflecting its foundational role in the field. Additionally, Zhang has advanced the mechanization of the chicken industry by designing a visual detection system for eggs, optimized for robots with limited computing resources. This 2021 work, also with 5 citations, demonstrates a practical approach to deploying deep learning in resource-constrained settings. By bridging the gap between advanced AI techniques and real-world agricultural applications, Zhang is helping to drive the modernization of labor-intensive farming, making their research both technically innovative and highly relevant to the future of automated agriculture.