• DocumentCode
    2388846
  • Title

    Development of a sensor for automatic detection of downey mildew disease

  • Author

    Srivastava, A. ; Shugen Ma ; Inoue, K.

  • fYear
    2004
  • fDate
    26-31 Aug. 2004
  • Firstpage
    562
  • Lastpage
    567
  • Abstract
    The essence of this work is development of a sensor that would extract the information about the presence of Downey Mildew disease, in its primitive stage, within the Grape crop standing in the field. This is done by using image process technology, color features of the Grape and the Downey Mildew disease analysis. The analysis of the data obtained from the Grapevine showed that the color set for thie Downey Mildew disease for the Grape is clearly distinct so the disease can directly be detected from the Grapevine. The experiment showed that the disease could be identified accurately at the time of its emergence hence it can be controlled easily. The output regarding the intensity of the Downey Mildew disease cam be obtained from the analysis.
  • Keywords
    Automatic control; Crops; Data mining; Delta modulation; Detectors; Diseases; Image color analysis; Pipelines; Production; Sensor phenomena and characterization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Mechatronics and Automation, 2004. Proceedings. 2004 International Conference on
  • Conference_Location
    Chengdu, China
  • Print_ISBN
    0-7803-8748-1
  • Type

    conf

  • DOI
    10.1109/ICIMA.2004.1384259
  • Filename
    1384259