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  • 标题:Third Generation Agricultural Support System Development Using Data Mining
  • 本地全文:下载
  • 作者:Jeysenthil.KMS ; Manikandan.T ; Murali.E
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2014
  • 卷号:3
  • 期号:3
  • 页码:9923
  • 出版社:S&S Publications
  • 摘要:Agriculture is a multi-dimensional sector directly linked to the malnutrition and food security of the country.This paper provides an effusive farmer supporting system called “Third generation agricultural support systemdevelopment” where it assess the various classification techniques of data mining and apply them to a soil sciencedatabase to establish if meaningful relationships can be found. In data mining conception, clustering and classificationtechnique make efficient knowledge exploration and knowledge acquisition from integrated organic farming andproduces better solution to the farmers about their cultivation. The agricultural support system development consists ofcollecting soil information’s with computational approach which is followed in organic way of farming huddling usingclusters(k-means) and gives best result using classification(orthogonal array) from the databases to the farmers alongwith beneficial microbes to release nutrients to crops for increased sustainable production in an ecological –intensification and pollution free environment.
  • 关键词:Support System; Classification; Clustering; Sustainable; Exploration; Exploitation.
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