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201259

UTILIZATION OF HYPERSPECTRAL IMAGING FOR CLASSIFYING POTATO TUBERS BASED ON ANTHOCYANIN CONTENT

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Last updated: 22 Jan 2023

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Abstract

Hyperspectral imaging technique in visible and near infrared (VIS/NIR) region with the range of 400 to 1000 nm was established for non-destructive assessment of anthocyanin concentration in three potato cultivars (Russet Burbank, Norland and Yokon Gold). Sixty tubers (20 tubers from each cultivar) were imaged with the hyperspectral imaging system and the anthocyanin concentrations were measured in the laboratory. Simple linear regression models were built between the anthocyanin concentration in the tested samples and their spectral responses at 550 nm. The prediction model performed well and predicted the anthocyanin content with standard error of calibration (SEC) equal to 7.22 in the calibration set (45 tubers) and correlation coefficient of 0.91. In the validation set (15 tubers), the model also achieved high success for predicting anthocyanin concentration with SEP of 11.95 and correlation coefficient of 0.91.

DOI

10.21608/jssae.2007.201259

Keywords

Hyperspectral imaging, potato, Anthocyanin, Discriminant Analysis

Authors

First Name

G.

Last Name

Elmasry

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Affiliation

Agricultural Engineering Department, Faculty of Agriculture, Suez Canal University, Ismailia, Egypt.

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First Name

S. M.

Last Name

Radwan

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Affiliation

Agricultural Engineering Department, Faculty of Agriculture, Suez Canal University, Ismailia, Egypt.

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Orcid

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First Name

N.

Last Name

Wang

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Affiliation

Department of Bioresource Engineering, McGill University, Macdonald Campus. 21,111 Lakeshore Road, Ste-Anne-de-Bellevue, Quebec. Canada. H9X 3V9.

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Volume

32

Article Issue

5

Related Issue

28377

Issue Date

2007-05-01

Receive Date

2007-05-26

Publish Date

2007-05-01

Page Start

3,557

Page End

3,569

Print ISSN

2090-3685

Online ISSN

2090-3766

Link

https://jssae.journals.ekb.eg/article_201259.html

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https://jssae.journals.ekb.eg/service?article_code=201259

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3

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Original Article

Type Code

889

Publication Type

Journal

Publication Title

Journal of Soil Sciences and Agricultural Engineering

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https://jssae.journals.ekb.eg/

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Article

Created At

22 Jan 2023