Rapid identification of tea quality by E-nose and computer vision combining with a synergetic data fusion strategy-Reference-Cited by-同舟云学术

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Rapid identification of tea quality by E-nose and computer vision combining with a synergetic data fusion strategy

Published:2019-01 Issue: Volume:241 Page:10-17
ISSN:0260-8774
Container-title:Journal of Food Engineering
language:en
Short-container-title:Journal of Food Engineering

Author:

Xu Min,Wang Jun,Gu Shuang

Funder

The National Key Research and Development Program of China

The Key research and development program of Zhejiang science and Technology Department

Publisher

Elsevier BV

Subject

Food Science

Reference35 articles.

1. Denoising of heart sound signals using discrete wavelet transform;Ali;Circ. Syst. Signal Process.,2017

2. The extrapolation of soil great groups using multinomial logistic regression at regional scale in arid regions of Iran;Afshar;Geoderma,2018

3. Classification of milk by means of an electronic nose and SVM neural network;Brudzewski;Sensor. Actuator. B Chem.,2004

4. Wavelet transform based image texture analysis for size estimation applied to the sorting of tea granules;Borah;J. Food Eng.,2007

5. Detection of optimum fermentation time for black tea manufacturing using electronic nose;Bhattacharyya;Sensor. Actuator. B Chem.,2007

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