Sheep face identification using multi-model deep learning evaluation and ensemble learning

Key Points

• Identification accuracy reached 92% using ensemble learning techniques, indicating high reliability.
• Assessment using multi-model deep learning techniques evaluated various deep neural networks.
• The ensemble learning approach improves individual model results, synthesizing strengths of multiple algorithms.
• Enhancements in face identification may offer significant advantages for livestock management systems.