• DocumentCode
    229187
  • Title

    Identification of mature grape bunches using image processing and computational intelligence methods

  • Author

    Rahman, Ashfaqur ; Hellicar, Andrew

  • Author_Institution
    Autonomous Syst. Program, DP&S, Hobart, TAS, Australia
  • fYear
    2014
  • fDate
    9-12 Dec. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Due to frost and insufficient exposure to sunlight, some grape bunches remain undeveloped during harvesting. For automation of harvesting, it is required to automatically identify the mature grape bunches. This paper presents a sequence of image processing and computational intelligence methods to identify mature grape bunches. It´s a two-step process where in the first step the grape bunches are separated from the background of an image and in the second step the grape bunch is classified into mature and undeveloped group. We achieved 96.88% accuracy on the images obtained from a strip of vineyard in Cambridge, Tasmania.
  • Keywords
    artificial intelligence; crops; image sequences; computational intelligence method; harvesting automation; image processing; mature grape bunches identification; sunlight exposure; two-step process; vineyard; Computational intelligence; Histograms; Image color analysis; Image segmentation; Pipelines; Strips; Grape bunch detection; precision viticulture; yield estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP), 2014 IEEE Symposium on
  • Conference_Location
    Orlando, FL
  • Type

    conf

  • DOI
    10.1109/CIMSIVP.2014.7013272
  • Filename
    7013272