Behavioral Assessment in Dairy Calves using Video-Based Deep Learning Approach
Abstract • Presentation • Best Oral Presentation Award
This research was presented at CIGR 2024.
- Developed avision-based behavior recognition approach for calves using video masked autoencoder
- Rectified temporal sequences with LSTM and Attention, enhancing accuracy by 3.7%
- Applied feature importance and statistical techniques to identify key behavioral indicators of Neonatal Calf Diarrhea
The Research Framework of This Study.
Po-Lin Chen, Jih-Tay Hsu, Ta-Te Lin. ”Video-Based Behavioral Assessment in Dairy Calves using Deep Learning Approach”. In 6th CIGR International Conference (CIGR 2024), Jeju, Korea.