• DocumentCode
    3761650
  • Title

    Palm fruit harvester algorithm for elaeis guineensis oil palm fruit grading using UML

  • Author

    Gaurang Patkar;G. S. G. N. Anjaneyulu;P. V. S. S. R. Chandra Mouli

  • Author_Institution
    School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper intends to solve palm fruit grading using the proposed prototype and Palm fruit ripeness Unified Modeling Language diagrams. In this paper the issues of correct harvesting prediction, categorizing palm fruits and distinguishing Ripe and Overripe fruit is solved suing Unified Modeling Language (UML) diagrams. UML diagrams designed and shown in the paper helped to model and implement the palm fruit harvester algorithm. The proposed algorithm is implemented in Visual C++ and results are tested with the live data collected from field and farmers. This research will resolve the issue of manual grading thereby helping farmers in producing good quality oil production and also will help researchers to use the prototype for implementation.
  • Keywords
    "Unified modeling language","Image color analysis","Cameras","Algorithm design and analysis","Visualization","Color","Prototypes"
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Computing Research (ICCIC), 2015 IEEE International Conference on
  • Print_ISBN
    978-1-4799-7848-9
  • Type

    conf

  • DOI
    10.1109/ICCIC.2015.7435700
  • Filename
    7435700