• DocumentCode
    573484
  • Title

    Decision system for recommended fertilization and nutrient management in farmland

  • Author

    Liu, Yunlong ; Jiang, Lina

  • Author_Institution
    Res. Center of Urban Ecology & Environ., Shanghai Normal Univ., Shanghai, China
  • fYear
    2012
  • fDate
    2-4 Aug. 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Fertilization is the important method to enhance agricultural production, but over application and low utilization rate of fertilizers had not only increased agriculture cost and resource waste, but also caused pollution. With consideration of the disperse farmland management and fertilizer status in south China, the information technology and recommended fertilizer model had been integrated to develop soil nutrient management and decision system in Dushu village, Donghu town, Shaoxing, Zhejiang Province. The whole process of farmland nutrient management had been realized in the village information system with the specific field as basic management unit, it could be used to query farmland nutrient, to browse soil nutrient and make recommended fertilization for many crops.
  • Keywords
    agriculture; crops; decision support systems; fertilisers; information systems; query processing; soil; Donghu town; Dushu village; Shaoxing; South China; Zhejiang province; agricultural production; agriculture cost; crop fertilization; decision system; farmland; farmland nutrient query; fertilizer utilization rate; information technology; nutrient management; pollution; recommended fertilization; resource waste; soil nutrient browsing; soil nutrient management; village information system; Data models; Fertilizers; Geographic information systems; Pollution; Production; Soil; GIS; decision system; nutrient management; recommended fertilization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Agro-Geoinformatics (Agro-Geoinformatics), 2012 First International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4673-2495-3
  • Electronic_ISBN
    978-1-4673-2494-6
  • Type

    conf

  • DOI
    10.1109/Agro-Geoinformatics.2012.6311718
  • Filename
    6311718