Predicting ribeye area and circularity in live calves through 3D image analyses of body surface.

ABSTRACT: The use of sexed semen at dairy farms has improved heifer replacement over the last decade by allowing greater control over the number of retained females and enabling the selection of dams with superior genetics. Alternatively, beef semen can be used in genetically inferior dairy cows to produce crossbred (beef x dairy) animals that can be sold at a higher price. Although crossbreeding became profitable for dairy farmers, meat cuts from beef x dairy crosses often lack quality and shape uniformity. Technologies for quickly predicting carcass traits for animal grouping before harvest may improve meat cut uniformity in crossbred cattle. Our objective was to develop a deep learning approach for predicting ribeye area and circularity of live animals through 3D body surface images using two neu

SUBMITTER: Caffarini JG 

PROVIDER: S-EPMC9495505 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature