Yihong Feng
Researcher
grad_student
Biological and Agricultural Engineering
Research Areas
Biography and Research Information
OverviewAI-generated summary
Yihong Feng's research focuses on the application of machine learning techniques, specifically instance segmentation, to agricultural contexts. Their recent publication, "Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation," published in 2025, addresses the challenge of limited annotated data in agricultural image analysis. This work aims to improve the accuracy and efficiency of automated systems in the poultry industry. Feng collaborates with researchers including Dongyi Wang and Philip G. Crandall from the Arkansas Agricultural Experiment Station, as well as D Wang and Wan Shou from the University of Arkansas at Fayetteville. Their work contributes to the advancement of computer vision and artificial intelligence in agricultural applications.
Metrics
- h-index: 1
- Publications: 1
- Citations: 1
Selected Publications
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Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation (2025)
Collaboration Network
Top Collaborators
- Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation
- Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation
- Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation
- Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation
- Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation
- Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation
- Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation
- Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation
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