Publication Cover
Spectroscopy Letters
An International Journal for Rapid Communication
Volume 53, 2020 - Issue 2
246
Views
15
CrossRef citations to date
0
Altmetric
Articles

Identification of authenticity, quality and origin of saffron using hyperspectral imaging and multivariate spectral analysis

, , , &
Pages 76-85 | Received 07 Sep 2019, Accepted 12 Nov 2019, Published online: 26 Dec 2019
 

Abstract

This paper is conducted to identify the authenticity, quality, and origin of saffron using hyperspectral imaging and multivariate spectral analysis. Reflectance spectra were extracted from hyperspectral images of saffron. Successive projections algorithm, genetic algorithm, uninformative variable elimination, and competitive adaptive reweighted sampling were used to select characteristic wavelengths. Back propagation neural network model was established based on the selected wavelengths. Results showed that the model combining competitive adaptive reweighted sampling with back propagation neural network achieved the best performance. Its prediction accuracy of the one-adulterated, three-domestic and two-imported saffron was 100, 95, 94, 100, 83, and 96%, respectively.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the Provincial Project in Data Fusion Analysis and Intelligent Regulation of Saffron Growth Environment Monitoring [LGN19C130002] and the Jiaxing Science and Technology Public Welfare Technology Project [No. 2017AY33032].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 745.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.