Data for: Noise-resistant long short-term memory for electronic nose signal processing in beef quality monitoring

Published: 21 September 2020| Version 1 | DOI: 10.17632/zm5yvskf5c.1
Contributors:
Dedy Wijaya,
,

Description

This dataset is originated from 12 types 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. In addition, the file "partition.zip" contains a dataset partition for training (50%), testing (25%), and validation data (25%). The first column shows the class label and the rest are features.

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Categories

Signal Processing, Process Control in Food Processing

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