Abstract:

Beef quality grading plays a very important role in beef cattle industry. In order to overcome the flaws of manual
grading, automatic beef grading technique becomes a hot research topic because it is objective and non-destructive. This
paper provides a review on recent progress made in the prediction of beef quality attributes including marbling, physiological
maturation, muscle color and fat using computer vision. Difficulties in the study such as segmentation and feature extraction are
also discussed. Finally, challenges and future prospects for the application of computer vision in beef quality grading are proposed.

Key words: computer vision, beef, quality grading