2019 : Noise filtering framework for electronic nose signals: An application for beef quality monitoring

Prof. Drs. Ec. Ir. Riyanarto Sarno M.Sc Ph.D
Dr. Dra. Enny Zulaika M.P.


Abstract

Beef is one of the most popular and widely consumed foodstuffs in the world. Nevertheless, it can easily decay if not properly treated during distribution and storage. The consumption of low quality beef causes a serious health hazard. The electronic nose (e-nose) is a rapid and low-cost instrument for beef quality classification. Hence, the development of a mobile e-nose for online meat quality monitoring is appealing. In the last few years, e-noses have been used to classify different grades of beef and to predict the number of the microbial population in beef samples. Several methods are used to deal with these classification and regression problems. Especially in multiclass beef classification and regression, signals contaminated with noise can significantly degrade the performance of the pattern recognition module. Therefore, the presence of internal and external noise in e-nose signals is a major challenge in …