Rapid and accurate detection of starch content in mixed sorghum by hyperspectral imaging combined with data fusion technology-Reference-Cited by-同舟云学术

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Rapid and accurate detection of starch content in mixed sorghum by hyperspectral imaging combined with data fusion technology

Published:2022-07-18 Issue:10 Volume:45 Page:
ISSN:0145-8876
Container-title:Journal of Food Process Engineering
language:en
Short-container-title:J Food Process Engineering

Author:

Bu Youhua¹,Jiang Xinna¹,Tian Jianping¹^ORCID,Hu Xinjun¹^ORCID,Fei Xue¹,Huang Dan²³,Luo Huibo²³

Affiliation:

1. College of Mechanical Engineering Sichuan University of Science and Engineering Yibin China

2. College of Bioengineering Sichuan University of Science and Engineering Yibin China

3. Sichuan Engineering Technology Research Center for Liquor‐Making Grains Yibin China

Publisher

Wiley

Subject

General Chemical Engineering,Food Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jfpe.14129

Reference52 articles.

1. Rapid and nondestructive detection of sorghum adulteration using optimization algorithms and hyperspectral imaging

2. Data fusion methodologies for food and beverage authentication and quality assessment – A review

3. Support Vector Machines for classification and regression

4. Nondestructive determination of the total mold colony count in green tea by hyperspectral imaging technology

5. Tea types classification with data fusion of UV–Vis, synchronous fluorescence and NIR spectroscopies and chemometric analysis

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