• DocumentCode
    264334
  • Title

    Bee Trees´ density estimation based on satellite image analysis: A case study at Al-Baha Region in Saudi Arabia

  • Author

    Alghamdi, Abdullah ; Adgaba, N. ; Sammouda, Rachid

  • Author_Institution
    Dept. of Plant Protection, King Saud Univ., Riyadh, Saudi Arabia
  • fYear
    2014
  • fDate
    18-20 Jan. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The increasing demand for Agricultural statistics for the provision of better plantation chances leads to the use of advanced Information technology intelligent techniques. Such techniques would be utilized in order to extract, segment and analyze vegetal areas land cover using multispectral satellite images. In this paper, we present digital image processing-based method to process 0.5 m2 satellite images of Al-Baha region in Saudi Arabia. Deployment of such an application would lead to extraction of vegetal information that is needed by beekeepers in search of better forage to maintain their colonies; and to produce honey in the region. The segmentation results may be used as key indicator for vegetation density.
  • Keywords
    agriculture; geophysical image processing; image segmentation; AI-Baha region; Saudi Arabia; advanced Information technology intelligent techniques; agricultural statistics; bee trees density estimation; beekeepers; digital image processing-based method; forage; multispectral satellite images; plantation chances; satellite image analysis; segmentation results; vegetal areas land cover; vegetation density; Artificial intelligence; Gold; Image resolution; Nickel; Vegetation mapping; Satellite image; segmentation and Vegetation Density;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Applications & Research (WSCAR), 2014 World Symposium on
  • Conference_Location
    Sousse
  • Print_ISBN
    978-1-4799-2805-7
  • Type

    conf

  • DOI
    10.1109/WSCAR.2014.6916833
  • Filename
    6916833