Fast inline tobacco classification by near-infrared hyperspectral imaging and support vector machine-discriminant analysis-Reference-Cited by-同舟云学术

Fast inline tobacco classification by near-infrared hyperspectral imaging and support vector machine-discriminant analysis

Published:2019 Issue:14 Volume:11 Page:1966-1975
ISSN:1759-9660
Container-title:Analytical Methods
language:en
Short-container-title:Anal. Methods

Author:

Marcelo Marcelo C. A.¹²³,Soares Frederico L. F.¹²³,Ardila Jorge A.¹²³,Dias Jailson C.¹²³,Pedó Ricardo¹²³,Kaiser Samuel¹²³,Pontes Oscar F. S.¹²³,Pulcinelli Carlos E.¹²³,Sabin Guilherme P.¹²³

Affiliation:

1. British American Tobacco (BAT)

2. Cachoeirinha

3. Brazil

Abstract

Classification systems are frequently used in tobacco Green Leaf Threshing (GLT) facilities to assess the chemical characteristics and quality of tobacco leaves.

Publisher

Royal Society of Chemistry (RSC)

Subject

General Engineering,General Chemical Engineering,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2019/AY/C9AY00413K

Reference28 articles.

1. J. Leffingwell , in Tobacco: Production, Chemistry, and Technology , ed. D. L. Davis and M. T. Nielsen , Blackwell Science , Hoboken, NJ , 1999 , ch. 8A

2. FLUE–CURED TOBACCO Correlation between Chemical Composition and Stalk Position of Tobaccos Produced under Varying Weather Conditions1

3. Metabolic profiling of tobacco leaves at different growth stages or different stalk positions by gas chromatography–mass spectrometry

4. J. Campbell , Trends in Tobacco Leaf Usability , 1995

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