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Beef Quality Classification with Reduced E-Nose Data Features According to Beef Cut Types

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dc.contributor.authorFEYZİOĞLU, AHMET
dc.contributor.authorsFeyzioglu A., Taspinar Y. S.
dc.date.accessioned2023-02-20T12:43:53Z
dc.date.available2023-02-20T12:43:53Z
dc.date.issued2023-02-01
dc.description.abstractEnsuring safe food supplies has recently become a serious problem all over the world. Controlling the quality, spoilage, and standing time for products with a short shelf life is a quite difficult problem. However, electronic noses can make all these controls possible. In this study, which aims to develop a different approach to the solution of this problem, electronic nose data obtained from 12 different beef cuts were classified. In the dataset, there are four classes (1: excellent, 2: good, 3: acceptable, and 4: spoiled) indicating beef quality. The classifications were performed separately for each cut and all cut shapes. The ANOVA method was used to determine the active features in the dataset with data for 12 features. The same classification processes were carried out by using the three active features selected by the ANOVA method. Three different machine learning methods, Artificial Neural Network, K Nearest Neighbor, and Logistic Regression, which are frequently used in the literature, were used in classifications. In the experimental studies, a classification accuracy of 100% was obtained as a result of the classification performed with ANN using the data obtained by combining all the tables in the dataset.
dc.identifier.citationFeyzioglu A., Taspinar Y. S., "Beef Quality Classification with Reduced E-Nose Data Features According to Beef Cut Types", SENSORS, cilt.23, sa.4, ss.20-36, 2023
dc.identifier.doi10.3390/s23042222
dc.identifier.endpage36
dc.identifier.issn1424-8220
dc.identifier.issue4
dc.identifier.startpage20
dc.identifier.urihttps://www.mdpi.com/1424-8220/23/4/2222/pdf
dc.identifier.urihttps://hdl.handle.net/11424/286635
dc.identifier.volume23
dc.language.isoeng
dc.relation.ispartofSENSORS
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectMühendislik ve Teknoloji
dc.subjectEngineering and Technology
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectEngineering, Computing & Technology (ENG)
dc.subjectdecision support system
dc.subjecte-nose
dc.subjectdata fusion
dc.subjectcontrol
dc.subjectbeef quality
dc.titleBeef Quality Classification with Reduced E-Nose Data Features According to Beef Cut Types
dc.typearticle
dspace.entity.typePublication
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relation.isAuthorOfPublicationc6f13a8f-9fe6-4ebb-920b-311f07e8c040
relation.isAuthorOfPublication.latestForDiscoveryc6f13a8f-9fe6-4ebb-920b-311f07e8c040

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