Dataset for electronic nose from various beef cuts
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
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Title |
Dataset for electronic nose from various beef cuts
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Identifier |
https://doi.org/10.7910/DVN/XNFVTS
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Creator |
Wijaya, Dedy Rahman
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Publisher |
Harvard Dataverse
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Description |
This dataset is originated from 12 type of beef cuts including round (shank), top sirloin, tenderloin, flap meat (flank), striploin (shortloin), brisket, clod/chuck, skirt meat (plate), inside/outside, rib eye, shin, and fat. The process of beef spoilage is recorded using 11 Metal-Oxide Semiconductor (MOS) gas sensors during 2220 minutes. The dataset is formatted in "xlsx" file. Each sheet represents one beef cut which is contained columns as follows: Minute: time in minute TVC: continuous label in the total viable count Label: discrete label, 1,2,3,4 denote “excellent”,”good”,”acceptable”, and “spoiled”, respectively. MQ_: the resistant value of gas sensors |
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Subject |
Computer and Information Science
electronic nose signal processing beef quality classification regression |
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Contributor |
Wijaya, Dedy Rahman
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