Estimation of fat cover of bovine carcases by means of computer vision system (CVS)

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dc.citation.spage012087
dc.citation.volume854
dc.contributor.authorSimunovic, S.
dc.contributor.authorRajic, S.
dc.contributor.authorDjordjevic, V.
dc.contributor.authorTomovic, V.
dc.contributor.authorVujadinovic, D.
dc.contributor.authorDjekic, I.
dc.contributor.authorTomasevic, I.
dc.date.accessioned2023-10-18T12:46:24Z
dc.date.available2023-10-18T12:46:24Z
dc.date.issued2021
dc.description.abstractThe aims of this study were to obtain percentages of meat and fat cover for SEUROP classification system reference images using a computer vision system (CVS) and to calculate classification intervals which could be used in the future for construction of cheap and easy to use classification devices for small slaughterhouses. Lowest percentages of fat cover were found for the first class marked as “low” (the lowest fat content) and they gradually increased to the last class marked as “very high” (the highest fat content). Based on the obtained results, decision making intervals were proposed. In the present study, classification only refers to classification of adult bovine animals based on fat cover.
dc.identifier.doi10.1088/1755-1315/854/1/012087
dc.identifier.urihttps://vaseljena.ues.rs.ba/handle/123456789/840
dc.language.isoen
dc.source61st International Meat Industry Conference
dc.titleEstimation of fat cover of bovine carcases by means of computer vision system (CVS)
dc.typeArticle
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