Automatic ham classification method based on support vector machine model increases accuracy and benefits compared to manual classification-Reference-Cited by-同舟云学术

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Automatic ham classification method based on support vector machine model increases accuracy and benefits compared to manual classification

Published:2019-09 Issue: Volume:155 Page:1-7
ISSN:0309-1740
Container-title:Meat Science
language:en
Short-container-title:Meat Science

Author:

Masferrer Gerard^ORCID,Carreras Ricard,Font-i-Furnols Maria^ORCID,Gispert Marina,Serra Moises,Marti-Puig Pere

Funder

Agency for Management of University and Research Grants

Grup Operatiu

Publisher

Elsevier BV

Subject

Food Science

Reference24 articles.

1. Pattern recognition and machine learning;Bishop;Pattern Recognition,2006

2. The production of the heavy pig for high quality processed products;Bosi;Journal of Animal Science,2004

3. On-line pork carcass grading with the Autofom ultrasound system;Brøndum;Journal of Animal Science,1998

4. Time-related changes in intramuscular lipids of French dry-cured ham;Buscailhon;Meat Science,1994

5. Factors in pig production that impact the quality of dry-cured ham: A review;Candek-Potokar;Animal : An International Journal of Animal Bioscience,2012

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