• DocumentCode
    3104667
  • Title

    A new method for sorting and grading of mangos based on computer vision system

  • Author

    Pauly, Leo ; Sankar, Deepa

  • Author_Institution
    Div. of Electron. & Commun. Eng., Cochin Univ. of Sci. & Technol., Kochi, India
  • fYear
    2015
  • fDate
    12-13 June 2015
  • Firstpage
    1191
  • Lastpage
    1195
  • Abstract
    In this paper a new automated method for sorting and grading of mangos based on computer vision algorithms is presented. The application of this system is to replace the existing manual technique of sorting and grading used in India. The system is developed for Alphonso mangos, the premium variety of mango exported from India. The developed system was able to sort the Alphonso mangos with an accuracy of 83.3% and can identify a defective skin up to an min area of 6.093845×10-4 sqcm.
  • Keywords
    agricultural products; computer vision; image classification; Alphonso mango; India; computer vision algorithm; computer vision system; defective skin identification; mango classification; mango grading; mango sorting; Computer vision; Conferences; Machine vision; Shape; Skin; Sorting; Computer Vision; Hue moments; Mango Grading and Sorting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advance Computing Conference (IACC), 2015 IEEE International
  • Conference_Location
    Banglore
  • Print_ISBN
    978-1-4799-8046-8
  • Type

    conf

  • DOI
    10.1109/IADCC.2015.7154891
  • Filename
    7154891
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3104667