Analysis of the Soil Data Using Classification Techniques for Agricultural Purpose

Authors

  • N Hemageetha Research scholar, Department of computer Science, Periyar University, Salem, Tamil nadu
  • GM Nasira Department of Computer Science , Chikkanna Govt. Arts College , Tirupur, India

Keywords:

Agricultural Soil, J48, Naïve Bayes Classification, Weka, Data mining

Abstract

India has more than sixty percent of its total area for agricultural purpose. Agricultural sector is the backbone for all the developing countries. Agriculture sector continue to play a vital role in the development of the economy. Data Mining supports decision making process and prediction. Agriculture needs the decision support system in variety of ways such as type of crop to be cultivated. There were many researches going on to support the agriculture using data mining. Analyzing soil provides major contribution to the support of the farmers. This paper analyzing Salem District soil data using data mining techniques.

References

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N. Hemageetha, “A Survey on appliation of Datamining Techniques to Analyze the Soil for Agricultural purpose”, Proceedings of the 10th INDIACom; INDIACom-2016; IEEE Conference ID: 37465 2016 3rd International Conference on “Computing for Sustainable Global Development”, ISSN 0973-7529; ISBN 978-93-80544-20-IEEE.

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Published

2025-11-11

How to Cite

[1]
N. Hemageetha and G. Nasira, “Analysis of the Soil Data Using Classification Techniques for Agricultural Purpose”, Int. J. Comp. Sci. Eng., vol. 4, no. 6, pp. 118–122, Nov. 2025.

Issue

Vol. 4 No. 6 (2016): IJCSE June Edition

Section

Research Article

License

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