Deep Learning (DL) has proven to be a successful tool for many image classification
problems but has yet to be applied to carcass images. The aim of this study was to train DL …

The objective of this study was to develop calibration models against rib eye traits and
independently validate the precision, accuracy, and repeatability of the Frontmatec Q-FOM™ …

This study assessed the capability of dual-energy X-ray absorptiometry (DEXA) to predict
intramuscular fat (IMF) content of beef longissimus steaks against chemical IMF as the gold …

A seven‐year comparative study of grid pricing versus average pricing of slaughter cattle
was conducted to evaluate carcass quality market signals. The primary objectives of the …

Abstract The US Department of Agriculture (USDA) yield grade (YG) equation is used to
predict the retail yield of beef carcasses, which facilitates a more accurate payment for cattle …

Since 2005 the EU food industry has primary legal responsibility for food safety control. This
requires new responsibilities and relationships between government and industry, and …

The US Department of Agriculture (USDA) beef grading system plays an important role in
marketing and promoting beef. USDA graders inspect beef carcasses and determine a …

Food borne illness today still results in high societal costs, even though FBOs have
implemented food safety control systems. In addition, the susceptibility to food borne …

Grade is one of the key aspects of crop quality. In this article, I summarize basic issues and
review some findings from empirical and theoretical research on grading. To begin with, I …

Sharing relevant information between suppliers and buyers can improve food safety
performance of supply chains, but only when it is reliable. This paper investigates reliability …