Classification of tea varieties based on fluorescence hyperspectral image technology and ABC‐SVM algorithm-Reference-Cited by-同舟云学术

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

Published:2021-02 Issue:3 Volume:45 Page:
ISSN:0145-8892
Container-title:Journal of Food Processing and Preservation
language:en
Short-container-title:J. Food Process. Preserv.

Author:

Ahmad Hussain¹,Sun Jun¹^ORCID,Nirere Adria¹,Shaheen Naila¹,Zhou Xin¹,Yao Kunshan¹^ORCID

Affiliation:

1. School of Electrical and Information Engineering of Jiangsu University Zhenjiang China

Funder

Priority Academic Program Development of Jiangsu Higher Education Institutions

Publisher

Wiley

Subject

General Chemical Engineering,General Chemistry,Food Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jfpp.15241

Reference34 articles.

1. ABC-SVM: Artificial Bee Colony and SVM Method for Microarray Gene Selection and Multi Class Cancer Classification

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

3. Chemical spoilage extent traceability of two kinds of processed pork meats using one multispectral system developed by hyperspectral imaging combined with effective variable selection methods

4. Support-vector networks

5. A novel variable selection approach that iteratively optimizes variable space using weighted binary matrix sampling

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4. Deoxynivalenol Detection beyond the Limit in Wheat Flour Based on the Fluorescence Hyperspectral Imaging Technique;Foods;2024-03-15

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