• DocumentCode
    3713382
  • Title

    Automated color prediction of paddy crop leaf using image processing

  • Author

    Amandeep Singh;Maninder Lal Singh

  • Author_Institution
    Department of Electronics Technology, Guru Nanak Dev University, Amritsar, India
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    24
  • Lastpage
    32
  • Abstract
    In India a majority of the population in rural areas is working in the agriculture field for their livelihood. They not only have to struggle for the better yield against the natural disasters but also have to tackle the losses of the net output because of land fertilization specifications and unskilled labour too. In the event of inadequate utilities and resources, in the face of unpredictable crises, their gain opportunities and livelihood are proportionally and adversely affected. However in this era of technology, the scenario may get changed as the Information and Communication and related fields of technology are providing a great for such type of crisis handling. Here in this paper, the method which may be used to compare the crop leaf color with the leaf color chart (LCC), has been proposed for getting a detail about the requirement of plant, before enough to get the yield affected. By making use of image processing technology a simple and robust method for the color prediction of paddy crop plant has been discussed along with the mathematical modelling which may provide a great platform to the advisory bodies in the agriculture field for the atomization of the crop health problems and solutions.
  • Keywords
    "Image color analysis","Agriculture","Histograms","Image coding","Plants (biology)","Diseases"
  • Publisher
    ieee
  • Conference_Titel
    Technological Innovation in ICT for Agriculture and Rural Development (TIAR), 2015 IEEE
  • Type

    conf

  • DOI
    10.1109/TIAR.2015.7358526
  • Filename
    7358526