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As part of its effort to implement value-based marketing, the beef industry began investigating the use of instruments to improve characterization, sorting and pricing of cattle and beef carcasses nearly three decades ago. Work continues to enhance video image analysis systems, so that they can more accurately sort carcasses for various attributes. Accurate tenderness prediction could be one of the most valuable aspects of video image analysis and would create more value-based marketing opportunities for producers.
The objectives of this study were:
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