A Deep Learning-based solution to Cattle Region Extraction for Lameness Detection
Author:
Affiliation:
1. University of Miyazaki,Graduate School of Engineering,Miyazaki,Japan
2. University of Miyazaki,Field Science Center, Faculty of Agriculture,Miyazaki,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9754591/9754592/09754780.pdf?arnumber=9754780
Reference3 articles.
1. Single-stream long-term optical flow convolution network for action recognition of lameness dairy cow
2. Machine learning based fog computing assisted data-driven approach for early lameness detection in dairy cattle
3. Automatic lameness detection in dairy cattle based on leg swing analysis with an image processing technique
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2. Development of a real-time cattle lameness detection system using a single side-view camera;Scientific Reports;2024-06-14
3. Mobile App for Muzzle Pattern Recognition for Cattle Identification Using Feature Extraction;2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM);2024-04-04
4. Advancing Cattle Health: AI-Driven Innovations in Lameness Detection and Management;2024 IEEE 14th Annual Computing and Communication Workshop and Conference (CCWC);2024-01-08
5. Deep Learning Based Image Analysis for Classification of Foot and Mouth Disease in Cattle;2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA);2023-08-03
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