J D Tatum

发表

Special-Fed Veal: Separable components, proximate composition, and nutrient analysis of selected raw and cooked, wholesale and retail cuts.

C C Perham, C L Gifford, D R Woerner, 2019, Meat science.

Video image analysis as a potential grading system for Uruguayan beef carcasses.

J D Tatum, K E Belk, J. D. Tatum, 2009, Journal of animal science.

Real-time augmentation of USDA yield grade application to beef carcasses using video image analysis.

J D Tatum, K E Belk, J A Scanga, 2003, Journal of animal science.

Using objective measures of muscle color to predict beef longissimus tenderness.

J D Tatum, J. D. Tatum, S F O'Connor, 1997, Journal of animal science.

Online prediction of beef tenderness using a computer vision system equipped with a BeefCam module.

J D Tatum, K E Belk, J A Scanga, 2003, Journal of animal science.

Online evaluation of a commercial video image analysis system (Computer Vision System) to predict beef carcass red meat yield and for augmenting the assignment of USDA yield grades. United States Department of Agriculture.

J D Tatum, K E Belk, J A Scanga, 2002, Journal of animal science.

Using reflectance spectroscopy to predict beef tenderness.

J D Tatum, K E Belk, J A Scanga, 2009, Meat science.

Post-slaughter traceability.

J D Tatum, K E Belk, J. D. Tatum, 2008, Meat science.

Identification of quality management practices to reduce the incidence of retail beef tenderness problems: development and evaluation of a prototype quality system to produce tender beef.

J D Tatum, K E Belk, J. D. Tatum, 1999, Journal of animal science.