• DocumentCode
    3155221
  • Title

    Research and analysis of classification model based on the shape parameters of cashew nuts

  • Author

    Lin, Zhang ; Qizhi, Zhang ; Hongwen, Xu

  • Author_Institution
    Sch. of Mech. Eng., Wuhan Polytech. Univ., Wuhan, China
  • fYear
    2011
  • fDate
    16-18 April 2011
  • Firstpage
    554
  • Lastpage
    556
  • Abstract
    The paper tried to build the classification model of cashew nuts and had analyzed the shape parameters of cashew nuts, and the paper concluded that there was a clear linear relationship between the length and height of cashew nuts and there was not a clear linear relationship between the length and thickness of cashew nuts or between the height and thickness of cashew nuts. Because of the restrictions of classification movement of cashew nuts, we could choose the length of cashew nuts to replace height of cashew nuts as key parameters of classification. Therefore, we could determine respectively three sizes of 18 mm, 28 mm and 42 mm as the length of long circular sieve of the classification machine. To solve the problem of the nonlinear relationship between thickness and length or height of cashew nuts, the paper analyzed the correlation between thickness of cashew nuts and breadth of long circular sieve. Finally the paper identified 19 mm width as long circular sieve.
  • Keywords
    agricultural products; pattern classification; production engineering computing; sieving; spreadsheet programs; Excel; Origin software; cashew nut height; cashew nut length; cashew nut thickness; circular sieve; classification machine; classification model; linear relationship; shape parameter analysis; Analytical models; Fitting; Length measurement; Shape; Software; Software measurement; Thickness measurement; Excel; Origin; cashew nuts; classification; shape parameters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
  • Conference_Location
    XianNing
  • Print_ISBN
    978-1-61284-458-9
  • Type

    conf

  • DOI
    10.1109/CECNET.2011.5768585
  • Filename
    5768585