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

International Journal on Smart Sensing and Intelligent Systems

Volume 9 (2016): Issue 2 (January 2016)

By:

Amitava Akuli, Abhra Pal, Gopinath Bej, Tamal Dey, Arunangshu Ghosh, Bipan Tudu, Nabarun Bhattacharyya and Rajib Bandyopadhyay

Open Access

|Jun 2016

Metrics

DOI: https://doi.org/10.21307/ijssis-2017-891 | Journal eISSN: 1178-5608

Journal RSS Feed

Language: English

Page range: 709 - 731

Submitted on: Jan 30, 2016

Accepted on: Mar 31, 2016

Published on: Jun 1, 2016

Published by: Professor Subhas Chandra Mukhopadhyay

In partnership with: Paradigm Publishing Services

Publication frequency: 1 times per year

Keywords:

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)

Related subjects:

Introductions and overviews,

Engineering, other

© 2016 Amitava Akuli, Abhra Pal, Gopinath Bej, Tamal Dey, Arunangshu Ghosh, Bipan Tudu, Nabarun Bhattacharyya, Rajib Bandyopadhyay, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Previous article Volume 9 (2016): Issue 2 (January 2016)Next article