Online identification and classification of Gannan navel oranges with Cu contamination by LIBS with IGA-optimized SVM-Reference-Cited by-同舟云学术

Online identification and classification of Gannan navel oranges with Cu contamination by LIBS with IGA-optimized SVM

Published:2023 Issue:6 Volume:15 Page:738-745
ISSN:1759-9660
Container-title:Analytical Methods
language:en
Short-container-title:Anal. Methods

Author:

Huang Lin¹,Chen Yangfan¹,Wang Jianbo²,Cheng Zhandong²,Tao Lei²,Zhou Huamao²,Xu Jiang²,Yao Mingyin²^ORCID,Liu Muhua²,Chen Tianbing²^ORCID

Affiliation:

1. College of Bioscience and Bioengineering, Jiangxi Agricultural University, Nanchang 330045, China

2. College of Engineering, Jiangxi Agricultural University, Nanchang 330045, China

Abstract

An online identification and classification system based on LIBS technology was developed to detect Gannan navel oranges, and realized real-time and fast detection of navel orange quality. Combined with IGA-SVM, the classification accuracy can reach 98% for test samples.

Funder

Education Department of Jiangxi Province

National Natural Science Foundation of China

Publisher

Royal Society of Chemistry (RSC)

Subject

General Engineering,General Chemical Engineering,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2023/AY/D2AY01874H

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