• DocumentCode
    1681696
  • Title

    Non-destructive quality evaluation in spice industry with specific reference to black pepper (Piper Nigrum L.)

  • Author

    Goswami, Pratikgiri R. ; Jain, K.R.

  • Author_Institution
    Sarvajanik Coll. of Eng. & Technol., Surat, India
  • fYear
    2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    As India is a hub of spices, quality assessment is mandatory for all these spice industries. Till now, quality assessment is done traditionally by human sensory panel which is non-reliable, costly and time consuming method. So there is a need of non-destructive method for quality assessment which is non-chemical in nature. In addition to inherent and hygienic features, quality also depends on physical appearance, moisture content, taste and smell. In this paper, we propose a method for quality evaluation of black pepper (Piper Nigrum L.) using computer vision and image processing which is cost-effective, fast and method. This method of quality assessment is non-contacting and so non-destructive too.
  • Keywords
    computer vision; food technology; image processing; nondestructive testing; production engineering computing; quality control; India; Piper Nigrum L; black pepper; computer vision; hygienic features; image processing; moisture content; nondestructive quality evaluation; physical appearance; quality assessment; smell; spice industry; taste; Artificial intelligence; Educational institutions; Iron; Three-dimensional displays; Canny edge detection; Combined measurements; Machine vision; Quality Assessment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering (NUiCONE), 2013 Nirma University International Conference on
  • Conference_Location
    Ahmedabad
  • Print_ISBN
    978-1-4799-0726-7
  • Type

    conf

  • DOI
    10.1109/NUiCONE.2013.6780106
  • Filename
    6780106