Construction of a NIR Solid-State Composite Seasoning Freshness AI Model Based on Consumer Sensory Evaluation Ability Assessment

SHU Qin-da; ZHANG Jia-hui; WANG Qi; YUE Bao-hua; LI Qian-qian

doi:10.3964/j.issn.1000-0593(2025)08-2228-06

Spectroscopy and Spectral Analysis, Volume. 45, Issue 8, 2228(2025)

Construction of a NIR Solid-State Composite Seasoning Freshness AI Model Based on Consumer Sensory Evaluation Ability Assessment

SHU Qin-da¹, ZHANG Jia-hui², WANG Qi³, YUE Bao-hua³, and LI Qian-qian^1、*

Author Affiliations

¹Department of Business Administration, School of Management, Shanghai University, Shanghai　200444, China

²Shanghai TotoleFood Co., Ltd., Shanghai　201802, China

³College of Sciences Shanghai University, Shanghai　200444, China

show less

Abstract Get PDF(in Chinese)

References(4)

[6] [6] Tolessa K, Rademaker M, De Baets B, et al. Talanta, 2016, 150: 367.

[7] [7] Liu T, Zhang Q, Chang D, et al. Analytical Letters, 2018, 51(12): 1935.

[8] [8] Kiranyaz S, Avci O, Abdeljaber O, et al. Mechanical Systems and Signal Processing, 2021, 151: 107398.

[9] [9] Liu Z, Mao H, Wu C Y, et al. ConvNet for the 2020s［C］. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, 11976.

Tools

Get Citation

Copy Citation Text

SHU Qin-da, ZHANG Jia-hui, WANG Qi, YUE Bao-hua, LI Qian-qian. Construction of a NIR Solid-State Composite Seasoning Freshness AI Model Based on Consumer Sensory Evaluation Ability Assessment[J]. Spectroscopy and Spectral Analysis, 2025, 45(8): 2228

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites

Paper Information

Received: May. 8, 2025

Accepted: Sep. 5, 2025

Published Online: Sep. 5, 2025

The Author Email: LI Qian-qian (Jiahui.zhang@cn.nestle.com)

DOI:10.3964/j.issn.1000-0593(2025)08-2228-06

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology