Efficient Classification of Agriculture Land Soils In Statewise From India Using Data Mining With Weka

Authors

  • Mrs. T. Seeni Selvi  Associate Professor, PG & Research Department of Computer Science, Hindusthan College of Arts and Science, Coimbatore, Tamilnadu, India

Keywords:

Data Mining, Classification, Classifier, Decision Tree

Abstract

Agriculture is the ultimate field for human society. And also it is the backbone of India. The production of agriculture products is continuously going decrease in recent years. There is a need for an immediate concentration for this agriculture field. The knowledge acquisition is possible by using existing agricultural database with data mining. Classification is the familiar methods that are used to provide the important information. This paper shows the different classification methods were applied into the dataset and produce the results using WEKA.

References

  1. Jiawei Han, MichelineKamber, -Data Mining: Concepts and Techniques‖, 2nd edition, Morgan Kaufmann, 2006.
  2. K.Thenmozhi, P.Deepika," Heart Disease Prediction Using Classification with Different Decision Tree Technique" International Journal of Engineering Research and General Science, Volume 2, Issue 6, October-November, 2014.
  3. K.Thenmozhi, P.Deepika "Different Datamining Techniques Involves In Heart Disease Prediction-A Survey" in International Journal of Scientific Research ISSN NO. 2277-8179 September 2014. 
  4. S.Manimekalai,K.Nandhini, " Survey on Classification Techniques for Soil Data Prediction to Better Yielding of Crops", International Journal of Computer Science and Engineering, Volume-6, Issue-1.
  5. V. Rajeswariand K. Arunesh, "Analysing Soil Data using Data mining Classification Techniques", Indian Journal of Science and Technology, Vol.9(19), May 2016.
  6. Ramesh Vamanan, K.Ramar, "Classification of Agricultural Land Soils a Data Mining Approach", International Journal on Computer Science and Engineering, Vol-3 No.1, Jan 2011.
  7. P.Bhagavathi, Dr. S. Jyothi, "Soil Classification Using Data Mining Techniques: A Comparative Study", International Journal of Engineering Trends and Technology, July to August Issue, 2011.
  8. Geetha MCS. Implementation of association rule mining for different soil types in agriculture. International Journal of Advanced Research in Computer and Communication Engineering. 2015 Apr; 4(4):520–2.
  9. Solanki J, Mulge Y. Different techniques used in data min ing in agriculture. International Journal of Advanced Re search in Computer Science and Software Engineering. 2015 May; 5(5):1223–7.
  10. Bhuyar V. Comparative analysis of classification techniques on soil data to predict fertility rate for Aurangabad District.International Journal of Emerging Trends and Technology in Computer Science. 2014 Mar-Apr; 3(2):200–3.
  11. Fathima NG, Geetha R. Agriculture crop pattern using data mining techniques. International Journal of Advanced Research in Computer Science and Software Engineering. 2014 May; 4(5):781–6.
  12. Suman, Naib BB. Soil classification and fertilizer recom mendation using WEKA.International Journal of Comput er Science and Management Studies. 2013 Jul; 13(5):142–6.
  13. Ramesh D, Vardhan VB. Data mining techniques and ap plications to agricultural yield data. International Journal of Advanced Research in Computer and Communication Engineering. 2013 Sep; 2(9):3477–80.
  14. Tsai F, Lai JS, Chen WW, Lin TH. Analysis of topographic and vegetative factors with data mining for landslide verifi cation.Ecological Engineering.2013 Dec; 61:669–77.

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-04-30

Issue

Volume 3, Issue 3, March-April-2018

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Mrs. T. Seeni Selvi, " Efficient Classification of Agriculture Land Soils In Statewise From India Using Data Mining With Weka, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.1486-1489, March-April-2018.