Electronic nose dataset for beef quality monitoring in uncontrolled ambient conditions

被引：18

作者：

Wijaya, Dedy Rahman ^{[1
,2
]}

Sarno, Riyanarto ^{[1
]}

Zulaika, Enny ^{[3
]}

机构：

[1] Inst Teknol Sepuluh Nopember, Informat Dept, Jalan Raya ITS, Surabaya 60111, East Java, Indonesia

[2] Telkom Univ, Sch Appl Sci, Jalan Telekomunikasi, Bandung 40257, West Java, Indonesia

[3] Inst Teknol Sepuluh Nopember, Biol Dept, Jalan Raya ITS, Surabaya 60111, East Java, Indonesia

来源：

DATA IN BRIEF | 2018年 / 21卷

关键词：

D O I：

10.1016/j.dib.2018.11.091

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

In recent years, the development of a rapid, simple, and low-cost meat assessment system using an electronic nose (e-nose) has been the concern of researchers. In this data article, we provide a time series dataset that was obtained from a beef quality monitoring experiment using an e-nose in uncontrolled ambient conditions. The availability of this dataset will enable discussion on how to deal with noisy e-nose signals and non-optimum sensor array in beef quality monitoring. Hence, the development of proper signal processing and robust machine learning algorithm are several challenges that must be faced. Furthermore, this dataset can also be useful as a comparison dataset for similar e-nose applications, such as air quality monitoring, smart packaging system, and food quality monitoring. (C) 2018 The Authors. Published by Elsevier Inc.

引用

页码：2414 / 2420

页数：7

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