JOURNAL OF LIGHT INDUSTRY

CN 41-1437/TS  ISSN 2096-1553

Volume 37 Issue 4
August 2022
Article Contents
TIE Jinxin, HE Wenmiao, LI Shitou, et al. Study on prediction method of the geographical origin of flue-cured tobacco strips based on cascade classification[J]. Journal of Light Industry, 2022, 37(4): 94-99. doi: 10.12187/2022.04.013
Citation: TIE Jinxin, HE Wenmiao, LI Shitou, et al. Study on prediction method of the geographical origin of flue-cured tobacco strips based on cascade classification[J]. Journal of Light Industry, 2022, 37(4): 94-99. doi: 10.12187/2022.04.013 shu

Study on prediction method of the geographical origin of flue-cured tobacco strips based on cascade classification

  • Received Date: 2021-07-07
  • In order to improve the accuracy of near-infrared prediction under limited sample conditions, a prediction method of the geographical origin of flue-cured tobacco strips based on cascade classification was proposed. In this method, the flavor attributes of samples were judged by near-infrared spectroscopy, and the flavor model was constructed as the middle layer, and then the origin model was constructed by LDA or PLS method under a single flavor framework to predict the geographical origin. The redried tobacco in the main producing area in China was taken as the objects in the experiment. The results showed that by introducing the flavor model as the middle layer, the accuracy of the classification model based on LDA was improved from 83.33% to 94.44%; the accuracy of PLS based classification model increased from 72.22% to 86.11%. Under the condition of limited sample data and without introducing new model parameters, this method could effectively reduce the proportion of misjudgment of the origin of redried tobacco.
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