Search Results - "Vote, D.J."
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1
Using reflectance spectroscopy to predict beef tenderness
Published in Meat science (01-05-2009)“…A study was conducted to determine if reflectance measurements made in the near-infrared region of the spectrum were additive to reflectance measurements made…”
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2
Molecular characterization of Escherichia coli O157:H7 hide contamination routes: feedlot to harvest
Published in Journal of food protection (01-06-2006)“…This study was conducted to identify the origin of Escherichia coli O157:H7 contamination on steer hides at the time of harvest. Samples were collected from…”
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3
Online prediction of beef tenderness using a computer vision system equipped with a BeefCam module
Published in Journal of animal science (01-02-2003)“…Four experiments were conducted in two commercial packing plants to evaluate the effectiveness of a commercial online video image analysis (VIA) system (the…”
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4
Injection of beef strip loins with solutions containing sodium tripolyphosphate, sodium lactate, and sodium chloride to enhance palatability
Published in Journal of animal science (01-04-2000)“…Beef strip loins (46 U.S. Choice loins and 49 U.S. Select loins) were used to evaluate the potential for enhancing beef tenderness, juiciness, and flavor by…”
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5
Real-time augmentation of USDA yield grade application to beef carcasses using video image analysis
Published in Journal of animal science (01-09-2003)“…In two phases, this study assessed the ability of two video image analysis (VIA) instruments, VIASCAN and Computer Vision System (CVS), to augment assignment…”
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6
Accuracy and repeatability of beef carcass longissimus muscle area measurements
Published in Journal of animal science (01-08-2003)“…This study was conducted to determine the accuracy and repeatability of beef carcass longissimus muscle area (LMA) measurements obtained by three different…”
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Effectiveness of the SmartMV prototype BeefCam System to sort beef carcasses into expected palatability groups
Published in Journal of animal science (01-02-2003)“…This study was conducted to determine the effectiveness of the SmartMV prototype BeefCam Video Imaging System (prototype BeefCam) for classifying beef…”
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