Study on Multi-Feature Model Fusion Variety Classification and Multi-Parameter Appearance Inspection for Milled Rice

YANG Sen; ZHANG Xin-ao; XING Jian; DAI Jing-min

doi:10.3964/j.issn.1000-0593(2023)09-2837-06

Spectroscopy and Spectral Analysis, Volume. 43, Issue 9, 2837(2023)

Study on Multi-Feature Model Fusion Variety Classification and Multi-Parameter Appearance Inspection for Milled Rice

YANG Sen¹, ZHANG Xin-ao¹, XING Jian¹, and DAI Jing-min²

Author Affiliations

¹[in Chinese]

²[in Chinese]

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References(5)

[1] [1] Sha M, Gui D D, Zhang Z Y, et al. Journal of Food Measurement and Characterization, 2019, 13: 1705.

[2] [2] Bagchi T B, Sharma S, Chattopadhyay K. Food Chemistry, 2016, 191: 21.

[5] [5] Chen S M, Xiong J T, Guo W T, et al. Journal of Cereal Science, 2019, 88: 87.

[6] [6] Singh S K, Vidyarthi S K, Tiwari R. Journal of Food Engineering, 2020, 274: 109828.

[7] [7] Zareiforoush H, Minaei S, Alizadeh M R, et al. Measurement, 2015, 66: 26.

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YANG Sen, ZHANG Xin-ao, XING Jian, DAI Jing-min. Study on Multi-Feature Model Fusion Variety Classification and Multi-Parameter Appearance Inspection for Milled Rice[J]. Spectroscopy and Spectral Analysis, 2023, 43(9): 2837

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Paper Information

Received: Apr. 14, 2022

Accepted: --

Published Online: Jan. 12, 2024

The Author Email:

DOI:10.3964/j.issn.1000-0593(2023)09-2837-06

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