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Analysis of the Soil Data Using Classification Techniques for Agricultural Purpose

N. Hemageetha1 , G.M. Nasira2

Section:Research Paper, Product Type: Journal Paper
Volume-4 , Issue-6 , Page no. 118-122, Jun-2016

Online published on Jul 01, 2016

Copyright © N. Hemageetha, G.M. Nasira . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: N. Hemageetha, G.M. Nasira, “Analysis of the Soil Data Using Classification Techniques for Agricultural Purpose,” International Journal of Computer Sciences and Engineering, Vol.4, Issue.6, pp.118-122, 2016.

MLA Style Citation: N. Hemageetha, G.M. Nasira "Analysis of the Soil Data Using Classification Techniques for Agricultural Purpose." International Journal of Computer Sciences and Engineering 4.6 (2016): 118-122.

APA Style Citation: N. Hemageetha, G.M. Nasira, (2016). Analysis of the Soil Data Using Classification Techniques for Agricultural Purpose. International Journal of Computer Sciences and Engineering, 4(6), 118-122.

BibTex Style Citation:
@article{Hemageetha_2016,
author = {N. Hemageetha, G.M. Nasira},
title = {Analysis of the Soil Data Using Classification Techniques for Agricultural Purpose},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2016},
volume = {4},
Issue = {6},
month = {6},
year = {2016},
issn = {2347-2693},
pages = {118-122},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=978},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=978
TI - Analysis of the Soil Data Using Classification Techniques for Agricultural Purpose
T2 - International Journal of Computer Sciences and Engineering
AU - N. Hemageetha, G.M. Nasira
PY - 2016
DA - 2016/07/01
PB - IJCSE, Indore, INDIA
SP - 118-122
IS - 6
VL - 4
SN - 2347-2693
ER -

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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.

Key-Words / Index Term

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

References

REFERENCES
[1] Mucherino.A, Petraq Papajorgji and P.M.Pardalos, “A survey of data mining techniques applied to agriculture”. Published online 2009 © Springer-verlag.
[2] G.M. Nasira , N. Hemageetha ,“Perspective on Classification Techniques in Agriculture”,International Journal of Computing Technology and Information Security Vol.1, No.2, pp. 40-46 , December, 2011. ISSN: 2231-1998 © 2011.
[3] G.M. Nasira , N. Hemageetha, “Vegetable price prediction using data mining classification technique” Preceedings of the International Conference on pattern Recognition, Informatics and Medical Engineering (PRIME 2012), PP. 99-102 ISBN No:978-1-4673-1038-3. © 2012 IEEE.
[4] G.M. Nasira , N. Hemageetha, “ Forecasting Model for Vegetable Price Using Back Propagation Neural Network” International Journal of Computational Intelligence and Informatics, Vol 2, no.2 sep 2012 PP 110-115..
[5] G.M. Nasira , N. Hemageetha, “ Radial Basis Function Model for Vegetable Price Prediction “ Preceedings of the International Conference on pattern Recognition, Informatics and Mobile Engineering (PRIME 2013), PP. 424 – 428 ISBN No.978-1-4673-5843-9 © 2013 IEEE.
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[8] Soil Testing Kit Hand Book.
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[10] Natesan et at(2007),. Technical Bulletinon “Soil test crop response based fertilizer prescription for different soils and crops in tamil nadu” ,AICRP-STCR TamilNadu Agricultural University, Coimbatore
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