Study on the identification of soybean origins combining laser-induced breakdown spectroscopy and convolutional neural networks

This study integrates Laser-Induced Breakdown Spectroscopy (LIBS) with CNNs to classify soybeans from five regions in China: Shandong, Heilongjiang, Guizhou, Zhejiang, and Neimenggu.

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Publication Details

Journal
Journal of Analytical Atomic Spectrometry
Published
2025-01-01
DOI
https://doi.org/10.1039/d5ja00116a
Citations
2
Primary Topic
Spectroscopy and Chemometric Analyses
Type
article
Field-Weighted Citation Impact
1.50
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article

Study on the identification of soybean origins combining laser-induced breakdown spectroscopy and convolutional neural networks

Li Wang, Jing Lin, Галина Толок, Hui Gao et al.
2 citations
Journal of Analytical Atomic Spectrometry
Spectroscopy and Chemometric Analyses
1.50
article

Study on the identification of soybean origins combining laser-induced breakdown spectroscopy and convolutional neural networks

Li Wang, Jing Lin, Галина Толок, Hui Gao, Li Li, Li Xu, Yuanxia Fu
article en
2 citations

Abstract

This study integrates Laser-Induced Breakdown Spectroscopy (LIBS) with CNNs to classify soybeans from five regions in China: Shandong, Heilongjiang, Guizhou, Zhejiang, and Neimenggu.

Journal of Analytical Atomic SpectrometryVol. 40(6)
Bengbu Medical College (CN), National University of Life and Environmental Sciences of Ukraine (UA), Bengbu University
Openalex Percentile: Top 21%
Spectroscopy and Chemometric Analyses
1.50
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