IJCATR Volume 2 Issue 6

Applying Data Mining Techniques on Soil Fertility Prediction

S.S.Baskar L.Arockiam
10.7753/IJCATR0206.1005
keywords : Data mining, classification, regression, Naive Bayes,J48.

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The techniques of data mining are very popular in the area of agriculture. The advancement in Agricultural research has been improved by technical advances in computation, automation and data mining. Now a days ,data mining is being used in a vast areas .The products of data mining system and domain specific data mining application soft ware’s are available for tailor made use, but data mining in agricultural on soil datasets is a relatively a young and contemporary research domain. Larger volume of data are harvested along the with the crop harvest in agriculture. Inferring the knowledge from huge volume of data is virtually a difficult task in the current scenario. This research uses the data mining techniques for analysis of soil dataset. This data mining algorithms are used for analysing the soil datasets for classification purposes. The various techniques of data mining is used and compared in this research.
@artical{s262013ijcatr02061005,
Title = "Applying Data Mining Techniques on Soil Fertility Prediction",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "2",
Issue ="6",
Pages ="660 - 662",
Year = "2013",
Authors ="S.S.Baskar L.Arockiam"}
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