Research on tea category identification method based on odor detection
An identification method that uses an electronic nose system to detect the tea aroma to identify the tea categories was proposes.Three machine learning methods were used to identify 10 types of tea,namely principal component analysis(PCA),K-means clustering,and convolutional neural network(CNN),respectively.The experimental results showed that the accuracy of K-clustering based on PCA dimensionality reduction features was 85.17%,better than the accuracy of K-clustering based on original features of 78.83%.The identification accuracy of the CNN algorithm based on PCA dimensionality reduction features could reach to 95%.It confirms that the tea category recognition method based on tea aroma and odor detection is efficient and feasible.
type of teaodor recognitionE-nose systemmachine learning
NETL
NSTL
万方数据
维普
