Electronic nose homogeneous data sets for beef quality classification and microbial population prediction.

ABSTRACT:

Objectives

In recent years, research on the use of electronic noses (e-nose) has developed rapidly, especially in the medical and food fields. Typically, e-nose is coupled with machine learning algorithms to detect or predict multiple sensory classes in a given sample. In many cases, comprehensive and complete experiments are required to ensure the generalizability of the predictive model. For this reason, homogeneous data sets are important to use. Homogeneous data sets refer to the data sets obtained from different observations in almost similar environmental condition. In this data article, e-nose homogeneous data sets are provided for beef quality classification and microbial population prediction.

Data description

This data set is originated from 12 type of beef cuts. T

SUBMITTER: Wijaya DR 

PROVIDER: S-EPMC9261018 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature