Study of fish species discrimination via electronic nose

•We distinguished three different fish species with an electronic nose.•We reported a pattern recognition method to discriminate fish species.•The proposed signal drift correction method increases discrimination success.•The sub-sampling method to feature extraction increases discrimination success....

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Veröffentlicht in:	Computers and electronics in agriculture 2015-11, Vol.119, p.83-91
Hauptverfasser:	Güney, Selda, Atasoy, Ayten
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Classification Decision trees Electronic nose Electronic noses Feature extraction Fish Fish discriminant Freshness Hybrid binary decision tree structure k-Nearest Neighbor Linear Discriminant Analysis Mackerel Scomber
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