Chinese bayberry (Myrica rubra Sieb. et Zucc.) quality determination based on an electronic nose and non-linear dynamic model

Abstract

A bayberry quality predicting model (<italic>R</italic> = 0.98644) is developed <italic>via</italic> linear fitting regression of SR SNR-Max values. The validation experiment results demonstrate that the developed model presents a predicting accuracy of 95% for Chinese bayberry quality.