2018 : Challenge Overview of Electronic Nose Data Processing for Beef Quality Assessment

Prof. Drs. Ec. Ir. Riyanarto Sarno M.Sc Ph.D


Abstract

Beef is kind of perishable food that easily to decay if not handled properly. Hence, a rapid system for beef quality assessment is needed to guarantee the quality of beef. In the last few years, electronic nose (e-nose) is developed for beef spoilage detection. In this paper, we discuss the challenges of e-nose application to beef quality assessment, especially in e-nose data processing. We also provide a summary of our previous studies that explains several methods to deal with gas sensor noise, sensor array optimization problem, beef quality classification, and prediction of the microbial population in beef sample. The results showed that the proposed methods achieved significant contributions to computing science and practices. This paper might be useful for researchers and practitioners to understand the challenges and methods of e-nose data processing for meat quality monitoring.