Electronic nose dataset for beef quality monitoring in uncontrolled ambient conditions

Dedy Rahman Wijaya; Riyanarto Sarno; Enny Zulaika

doi:10.1016/j.dib.2018.11.091

Electronic nose dataset for beef quality monitoring in uncontrolled ambient conditions

Data Brief. 2018 Nov 22:21:2414-2420. doi: 10.1016/j.dib.2018.11.091. eCollection 2018 Dec.

Authors

Dedy Rahman Wijaya^{1

2}, Riyanarto Sarno¹, Enny Zulaika³

Affiliations

¹ Informatics Department, Institut Teknologi Sepuluh Nopember, Jalan Raya ITS, Keputih, Sukolilo, 60111 Surabaya, East Java, Indonesia.
² School of Applied Science, Telkom University, Jalan Telekomunikasi, Terusan Buah Batu, 40257 Bandung, West Java, Indonesia.
³ Biology Department, Institut Teknologi Sepuluh Nopember, Jalan Raya ITS, Keputih, Sukolilo, 60111 Surabaya, East Java, Indonesia.

Abstract

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.