Real-Time ConvNext-Based U-Net with Feature Infusion for Egg Microcrack Detection

Real-Time ConvNext-Based U-Net with Feature Infusion for Egg Microcrack Detection

Real-time automatic detection of microcracks in eggs is crucial for ensuring egg quality and safety, yet rapid detection of micron-scale cracks remains challenging. This study introduces a real-time ConvNext-Based U-Net model with Feature Infusion (CBU-FI Net) for egg microcrack detection. Leveragin...

Full description

Bibliographic Details
Main Authors: Chenbo Shi, Yuejia Li, Xin Jiang, Wenxin Sun, Changsheng Zhu, Yuanzheng Mo, Shaojia Yan, Chun Zhang
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Agriculture
Subjects:
poultry eggs
microcrack detection
lightweight model
semantic segmentation
deep learning
Online Access:https://www.mdpi.com/2077-0472/14/9/1655

Internet

https://www.mdpi.com/2077-0472/14/9/1655

Similar Items