Research on the Forecast Model of Total Viable Count on Bacon Based on Hyper spectral Imaging Technique

被引：0
|
作者：
Zhao, Junhua [1 ]
Guo, Peiyuan [1 ]
Xu, Pan [1 ]
Liu, Shuo [1 ]
Yang, Kuncheng [1 ]
机构：
[1] Beijing Technol & Business Univ, Sch Comp & Informat Engn, Beijing 100048, Peoples R China
来源：
INTERNATIONAL SEMINAR ON APPLIED PHYSICS, OPTOELECTRONICS AND PHOTONICS (APOP 2016) | 2016年 / 61卷
关键词：
bacon; total viable count; hyper spectral imaging; interval optimization least-squares; QUALITY; ATTRIBUTES;
D O I：
10.1051/matecconf/20166102009
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The total viable count (TVC) in bacon overweight can cause serious damage to human health. In order to find a rapid and nondestructive method of TVC, hyper spectral imaging technique was applied to quantitatively analysis of TVC on bacon. Comprehensively comparing the pretreatment method of multiple scattering, derivative method and so on, finally the multiple scattering for pretreatment was used. And the interval optimization method of least squares model was set up to predict, and get a good prediction results. The correlation coefficient of the calibration and predictions respectively was 0.808 and 0.808, interactive authentication root mean square error was 0.115 and 0.198 respectively. Therefore, hyper spectral imaging technique combining iPLS can be used for the rapid detection of TVC on bacon.
引用
收藏
页数：5
相关论文
共 50 条
  • [41] Experimental Study of Spectral Imaging Technique Based on Broadband Filtering
    Wei Lei
    Yang Lin
    Wang Xiaoxu
    Xu Tuoqi
    Yue Pinliang
    Wang Yansong
    Wang Duo
    ACTA OPTICA SINICA, 2022, 42 (02)
  • [42] Research on the Combination Forecast Model based on the BP Neural Network
    Zong, Shengwang
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND ENGINEERING, 2015, 17 : 49 - 53
  • [43] Research on Logistics Demand Forecast of Port Based on Combined Model
    Yan, Peng
    Zhang, Lin
    Feng, Zhiyun
    Zhang, Jing
    2018 INTERNATIONAL CONFERENCE ON COMPUTER INFORMATION SCIENCE AND APPLICATION TECHNOLOGY, 2019, 1168
  • [44] Research on Fixed Assets Investment Forecast Based on ARIMA Model
    Zhang, Bokai
    2019 INTERNATIONAL CONFERENCE ON ECONOMIC MANAGEMENT AND MODEL ENGINEERING (ICEMME 2019), 2019, : 381 - 384
  • [45] Ground-based Observation System Development for the Moon Hyper-spectral Imaging
    Wang, Yang
    Huang, Yu
    Wang, Shurong
    Li, Zhanfeng
    Zhang, Zihui
    Hu, Xiuqing
    Zhang, Peng
    PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC, 2017, 129 (975)
  • [46] Research on Runoff Forecast Model Based on Phase Space Reconstruction
    Li Jingbo
    Dong Zengchuan
    Wang Dezhi
    Li Shaohua
    2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 5339 - +
  • [47] Study of temperature, apparent spectral emissivity, and soot loading of a single burning coal particle using hyper-spectral imaging technique
    Si, Mengting
    Cheng, Qiang
    Zhang, Qi
    Wang, Dongxu
    Luo, Zixue
    Lou, Chun
    COMBUSTION AND FLAME, 2019, 209 : 267 - 277
  • [48] Hyperspectral Image Denoising Based on Hyper-Laplacian Total Variation in Spectral Gradient Domain
    Yang, Fang
    Hu, Qiangfu
    Su, Xin
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2025, 63
  • [49] Pan Sharpening for Hyper Spectral Imagery Using Spectral Mixing-Based Color Preservation Model
    Munmun Baisantry
    Ayushi Khare
    Journal of the Indian Society of Remote Sensing, 2017, 45 : 743 - 748
  • [50] Pan Sharpening for Hyper Spectral Imagery Using Spectral Mixing-Based Color Preservation Model
    Baisantry, Munmun
    Khare, Ayushi
    JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2017, 45 (05) : 743 - 748
12345