• DocumentCode
    569494
  • Title

    Remote Sensing Monitoring System for Agriculture Condition

  • Author

    Zhao, Qun ; Liu, Yun

  • Author_Institution
    Landscape Dept., Beijing Univ. of Agric., Beijing, China
  • fYear
    2012
  • fDate
    17-19 Aug. 2012
  • Firstpage
    966
  • Lastpage
    968
  • Abstract
    Using remote sensing technology, related data of agricultural production are collected. Agriculture condition monitoring system is built by C language. Agriculture condition monitoring system can estimate crop yields. By comparing the real-time agro-meteorological conditions and the historical average data, agro-meteorological analysis of crop growth can be done. Agriculture condition monitoring system can provide a basis for decision support for agriculture production via timely growth monitoring of agricultural information.
  • Keywords
    C language; agricultural engineering; condition monitoring; crops; meteorology; production engineering computing; real-time systems; remote sensing; C language; agricultural information monitoring; agricultural production data; agro-meteorological analysis; crop growth; crop yield estimation; decision support; real-time agrometeorological conditions; remote sensing agriculture condition monitoring system; remote sensing technology; Agriculture; Condition monitoring; Indexes; Monitoring; Production; Remote sensing; Spatial databases; Agriculture Condition; NDVI; Remote Sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational and Information Sciences (ICCIS), 2012 Fourth International Conference on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4673-2406-9
  • Type

    conf

  • DOI
    10.1109/ICCIS.2012.219
  • Filename
    6300774