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An automated framework estimates sheep age through image processing, suggesting improved agricultural decision-making.
The proposed framework offers a robust, automated, and scalable solution for sheep age estimation. By eliminating manual assessment, the system contributes to precision livestock farming and supports informed decision-making in agricultural practice. The integration of deep learning, automatic segmentation, and a user-friendly interface highlights its potential for broader adoption in real-world field applications.
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Cihan et al. (2026) studied this question.
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