<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Orthodox black tea quality depends upon the amount of certain organic compounds present and out of these, theaflavins (TF) and thearubigins (TR) are the most important ones While TF is responsible for attractive golden colour, increased brightness and astringency in tea liquor, TR is reddish brown, reduces the brightness of tea liquor and contribute mostly for the ashy taste of the liquor with minor improvement in astringency. The rapid estimation of TF and TR thus may resolve the problem of certain uncertainty or ambiguity that may arise during quality assessment of tea by the tea tasters. In this paper, a new method for rapid measurement of concentration of TF and TR is described using a machine vision system taking images of tea liquor and employing artificial neural networks (ANN). The results show good correlation of estimated values of TF and TR with the actual concentrations obtained using ultraviolet-visible spectrophotometer (UV-VIS)</p>
</abstract>

Orthodox black tea quality depends upon the amount of certain organic compounds present and out of these, theaflavins (TF) and thearubigins (TR) are the most important ones While TF is responsible for attractive golden colour, increased brightness and astringency in tea liquor, TR is reddish brown, reduces the brightness of tea liquor and contribute mostly for the ashy taste of the liquor with minor improvement in astringency. The rapid estimation of TF and TR thus may resolve the problem of certain uncertainty or ambiguity that may arise during quality assessment of tea by the tea tasters. In this paper, a new method for rapid measurement of concentration of TF and TR is described using a machine vision system taking images of tea liquor and employing artificial neural networks (ANN). The results show good correlation of estimated values of TF and TR with the actual concentrations obtained using ultraviolet-visible spectrophotometer (UV-VIS)

A Machine Vision System For Estimation Of Theaflavins And Thearubigins In Orthodox Black Tea

International Journal on Smart Sensing and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Orthodox black tea quality depends upon the amount of certain organic compounds present and out of these, theaflavins (TF) and thearubigins (TR) are the most...

A Machine Vision System For Estimation Of Theaflavins And Thearubigins In Orthodox Black Tea

Publié en ligne: 01 juin 2016

Pages: 709 - 731

Reçu: 30 janv. 2016

Accepté: 31 mars 2016

DOI: https://doi.org/10.21307/ijssis-2017-891

Mots clés
Theaflavins (TF), Thearubigins (TR), Machine Vision System, Orthodox black tea, UV-VIS spectrophotometer, Generalised Regression Neural Network (GRNN), Back propagation multilayer perceptrons (BP-MLP), Radial Basis Function Network (RBFN)

© 2016 Amitava Akuli et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

A Machine Vision System For Estimation Of Theaflavins And Thearubigins In Orthodox Black Tea

Publié en ligne: 01 juin 2016

Pages: 709 - 731

Reçu: 30 janv. 2016

Accepté: 31 mars 2016

DOI: https://doi.org/10.21307/ijssis-2017-891

Mots clésTheaflavins (TF), Thearubigins (TR), Machine Vision System, Orthodox black tea, UV-VIS spectrophotometer, Generalised Regression Neural Network (GRNN), Back propagation multilayer perceptrons (BP-MLP), Radial Basis Function Network (RBFN)

© 2016 Amitava Akuli et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Mots clés
Theaflavins (TF), Thearubigins (TR), Machine Vision System, Orthodox black tea, UV-VIS spectrophotometer, Generalised Regression Neural Network (GRNN), Back propagation multilayer perceptrons (BP-MLP), Radial Basis Function Network (RBFN)