Journals Articles Conferences News About CLP
Submit a paper Email Alert
Search
Search
Articles
Journals
News
Advanced Search
Top Searches
2D MaterialsTransformation opticsQuantum PhotonicsSmall lasersSemiconductor UV PhotonicsSupersymmetric microring laser arrays

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-qian1、*
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
    AbstractGet PDF(in Chinese)
    Figures&Tables (0)
    Equations (0)
    References (4)
    Tools
    Paper Information
    Topics
    Figures & Tables(0)
    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)BibTexPlain 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