Hengyuan Zhang
Papers
2
Total Citations
32
H-Index
2
About
Hengyuan Zhang is a leading researcher in precision livestock farming and agricultural automation, with a focus on intelligent monitoring systems for poultry production. His work addresses critical challenges in large-scale cage environments, where traditional manual methods are labor-intensive, costly, and error-prone. Zhang’s major contributions include developing a machine vision online monitoring system for egg production and quality assessment, which integrates robotic patrols for automated egg localization—a breakthrough cited 22 times since 2024. He further advanced the field with an enhanced methodology for caged chicken counting using the YOLOv8 deep learning model, achieving superior accuracy in densely packed environments; this work has already garnered 10 citations in 2025. By overcoming the limitations of existing deep learning models in complex caged settings, Zhang’s research significantly improves productivity, reduces human error, and enables real-time data-driven management in poultry farms. His innovative approaches to automating both egg quality inspection and bird counting represent pivotal steps toward fully intelligent, scalable livestock monitoring systems.
Research Focus
Key Achievements
Top Papers
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