Now showing items 1-2 of 2
On-line Ham Grading using pattern recognition models based on available data in commercial pig slaughterhouses
(Meat Science, 2018-04-13)
The thickness of the subcutaneous fat in hams is one of the most important factors for the dry-curing process and largely determines its final quality. This parameter is usually measured in slaughterhouses ...
Automatic ham classification method based on support vector machine model increases accuracy and benefits compared to manual classification
(Meat Science, 2019-04-25)
The thickness of the subcutaneous fat (SFT) is a very important parameter in the ham, since determines the process the ham will be submitted. This study compares two methods to predict the SFT in slaughter ...