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Automatic ham classification method based on support vector machine model increases accuracy and benefits compared to manual classification
(Elsevier, 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 ...
On-line Ham Grading using pattern recognition models based on available data in commercial pig slaughterhouses
(Elsevier, 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 ...