• DocumentCode
    3409328
  • Title

    Detection of Meat Fresh Degree Based on Neural Network

  • Author

    Peiyuan, Guo ; Man, Bao ; Shiha, Qu ; Tianhua, Chen

  • Author_Institution
    Beijing Technol. & Bus. Univ., Beijing
  • fYear
    2007
  • fDate
    5-8 Aug. 2007
  • Firstpage
    2726
  • Lastpage
    2730
  • Abstract
    In order to find a quick valid scientific way to identify meat freshness, the article analyses the measuring mechanism of identifying to fresh degree of meat, and designs one set of intellectual detection and identification system that is based on electronic information technology, photoelectric detection technique, image processing technology and neural network model recognition technology. Through the test and analysis of the pork sample, it proves that this system is real-time in discerning the fresh degree of meat accurately. In addition, this method can apply to other relevant fields. The research result has very important reality and long-term meaning.
  • Keywords
    food products; image recognition; neural nets; electronic information technology; identification system; image processing technology; intellectual detection; measuring mechanism; meat freshness degree detection; meat freshness identification; neural network model recognition technology; photoelectric detection technique; Design automation; Design engineering; Image analysis; Image processing; Image recognition; Mechatronics; Microorganisms; Neural networks; Nitrogen; Proteins; Freshness of pork; neural network; pattern-recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation, 2007. ICMA 2007. International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-0828-3
  • Electronic_ISBN
    978-1-4244-0828-3
  • Type

    conf

  • DOI
    10.1109/ICMA.2007.4303989
  • Filename
    4303989