• DocumentCode
    3639149
  • Title

    Classification of aflatoxin contaminated chili pepper using hyperspectral imaging and artificial neural networks

  • Author

    Musa Ataş;Alptekin Temizel;Yasemin Yardımcı

  • Author_Institution
    Enformatik Enstitü
  • fYear
    2010
  • Firstpage
    9
  • Lastpage
    12
  • Abstract
    Many foods (such as hazelnut, pistachio nut, almond, corn, wheat, dried fig, and chili pepper) may include carcinogenic aflatoxins that threatens human health. Chili pepper is also prone to aflatoxin contamination during harvesting, production and storage periods. Although Turkey is the third largest chili pepper producer in the world, it has less than three percent international market share due to the high level of aflatoxin contamination in the chili pepper. Various chemical methods are used for detection of aflatoxin. Chemical methods used for detection of aflatoxin contamination give accurate results, but they are slow, expensive and destructive. In this study, intensity histograms of hyper spectral images of chili peppers are extracted under halogen illumination source and aflatoxin detection is made by artificial neural networks.
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2010 IEEE 18th
  • ISSN
    2165-0608
  • Print_ISBN
    978-1-4244-9672-3
  • Type

    conf

  • DOI
    10.1109/SIU.2010.5650935
  • Filename
    5650935