Nondestructive detection for adulteration of panax notoginseng powder based on hyperspectral imaging combined with arithmetic optimization algorithm‐support vector regression-Reference-Cited by-同舟云学术

Nondestructive detection for adulteration of panax notoginseng powder based on hyperspectral imaging combined with arithmetic optimization algorithm‐support vector regression

Published:2022-06-29 Issue:9 Volume:45 Page:
ISSN:0145-8876
Container-title:Journal of Food Process Engineering
language:en
Short-container-title:J Food Process Engineering

Author:

Zhang Fujie¹²,Shi Lei¹^ORCID,Li Lixia¹²,Zhou Yufeng¹,Tian Liquan²,Cui Xiuming³,Gao Yongping⁴

Affiliation:

1. Faculty of Modern Agriculture Engineering Kunming University of Science and Technology Kunming China

2. Key Laboratory of Crop Harvesting Equipment Technology of Zhejiang Province Jinhua China

3. Yunnan Provincial Key Laboratory of Panax notoginseng Kunming China

4. Yixintang Pharmaceutical Group Ltd. Kunming China

Funder

National Key Research and Development Program of China

Publisher

Wiley

Subject

General Chemical Engineering,Food Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jfpe.14096

Reference27 articles.

1. The Arithmetic Optimization Algorithm

2. Classification of tea varieties based on fluorescence hyperspectral image technology and ABC‐SVM algorithm

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

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

5. Multivariate quantitative analysis of quality trend based on non-volatile characteristic components in different Panax notoginseng samples using HPLC

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