• DocumentCode
    1736842
  • Title

    Comparison of Citrus fruit diseases revealing with Data Mining and Image Processing Techniques based on assorted parameters

  • Author

    Devi, M. Renuka ; Kavitha, V.

  • Author_Institution
    SNS Coll. of Technol., Coimbatore, India
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Machine vision has become a key technology in the area of quality control. “Vision systems” is primarily focused on computer vision in the context of inspection of the products such as food, pharmaceuticals. The system can consist of a number of cameras all capturing, interpreting and signaling individually with a control system related to some predefined algorithms. The analysis of citrus fruits using various assorted parameters revealing the diseases afflicting Citrus fruits and isolation of the same using Image Processing and Data Mining Techniques is the core area discussed here with.
  • Keywords
    agricultural products; computer vision; data mining; inspection; citrus fruit diseases; computer vision; data mining; image processing techniques; machine vision; product inspection; Accuracy; Diseases; Image color analysis; Lesions; Machine vision; Shape; Citrus Fruit; Computer Vision; Data Mining; Image Processing; Machine Vision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Communication and Informatics (ICCCI), 2015 International Conference on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4799-6804-6
  • Type

    conf

  • DOI
    10.1109/ICCCI.2015.7218107
  • Filename
    7218107