Identification and Adulteration Detection of Lotus Root Starch Using Hyperspectral Imaging Technology Combined With Deep Learning

PENG Jian-heng; HU Xin-jun; ZHANG Jia-hong; TIAN Jian-ping; CHEN Man-jiao; HUANG Dan; LUO Hui-bo

doi:10.3964/j.issn.1000-0593(2025)06-1759-09

Spectroscopy and Spectral Analysis, Volume. 45, Issue 6, 1759(2025)

Identification and Adulteration Detection of Lotus Root Starch Using Hyperspectral Imaging Technology Combined With Deep Learning

PENG Jian-heng¹, HU Xin-jun^1,2、*, ZHANG Jia-hong¹, TIAN Jian-ping¹, CHEN Man-jiao¹, HUANG Dan², and LUO Hui-bo²

Author Affiliations

¹School of Mechanical Engineering, Sichuan University of Science and Engineering, Yibin　644000, China

²Sichuan Provincial Key Laboratory of Brewing Biotechnology and Application, Yibin　644000, China

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PENG Jian-heng, HU Xin-jun, ZHANG Jia-hong, TIAN Jian-ping, CHEN Man-jiao, HUANG Dan, LUO Hui-bo. Identification and Adulteration Detection of Lotus Root Starch Using Hyperspectral Imaging Technology Combined With Deep Learning[J]. Spectroscopy and Spectral Analysis, 2025, 45(6): 1759

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Paper Information

Received: May. 7, 2024

Accepted: Jun. 27, 2025

Published Online: Jun. 27, 2025

The Author Email: HU Xin-jun (suse2021@126.com)

DOI:10.3964/j.issn.1000-0593(2025)06-1759-09

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology