Rapid identification of adulterated rice based on data fusion of near-infrared spectroscopy and machine vision-Reference-Cited by-同舟云学术

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Rapid identification of adulterated rice based on data fusion of near-infrared spectroscopy and machine vision

Published:2024-03-25 Issue:5 Volume:18 Page:3881-3892
ISSN:2193-4126
Container-title:Journal of Food Measurement and Characterization
language:en
Short-container-title:Food Measure

Author:

Song Chenxuan,Liu Jinming^ORCID,Wang Chunqi,Li Zhijiang,Zhang Dongjie,Li Pengfei

Funder

National Key R&D Program of China

the Natural Science Foundation of Heilongjiang Province of China

the Heilongjiang Bayi Agricultural University Support Program for San Heng San Zong

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11694-024-02462-5.pdf

Reference42 articles.

1. H. Zia et al., Rapid testing system for rice quality control through comprehensive feature and kernel-type detection. Foods 11(18), 2723 (2022)

2. T. Chen et al., Early warning of rice mildew based on gas chromatography-ion mobility spectrometry technology and chemometrics. J. Food Meas. Charact. 15(2), 1939–1948 (2021)

3. R.L. Vaishna, V.V. SatyavathinAff, K. Anupama, Single grain analysis of the complex Basmati rice samples to determine the nature of admixtures and accurate adulteration quantification. J. Food Sci. Technol. 59(4), 1658–1663 (2022)

4. A.R. Santos et al., Mycotoxins contamination in rice: analytical methods, occurrence and detoxification strategies. Toxins 14(9), 647 (2022)

5. Y. Xu et al., Fast detection of volatile fatty acids in biogas slurry using NIR spectroscopy combined with feature wavelength selection. Sci. Total. Environ. 857(Pt 1), 159282 (2023)

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