We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 November 2024
Reseach Article

Article:Fuzzy C-Means Classifier for Soil Data

by P.Bhargavi, Dr.S.Jyothi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 6 - Number 4
Year of Publication: 2010
Authors: P.Bhargavi, Dr.S.Jyothi
10.5120/1071-1400

P.Bhargavi, Dr.S.Jyothi . Article:Fuzzy C-Means Classifier for Soil Data. International Journal of Computer Applications. 6, 4 ( September 2010), 1-5. DOI=10.5120/1071-1400

@article{ 10.5120/1071-1400,
author = { P.Bhargavi, Dr.S.Jyothi },
title = { Article:Fuzzy C-Means Classifier for Soil Data },
journal = { International Journal of Computer Applications },
issue_date = { September 2010 },
volume = { 6 },
number = { 4 },
month = { September },
year = { 2010 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume6/number4/1071-1400/ },
doi = { 10.5120/1071-1400 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:54:30.849644+05:30
%A P.Bhargavi
%A Dr.S.Jyothi
%T Article:Fuzzy C-Means Classifier for Soil Data
%J International Journal of Computer Applications
%@ 0975-8887
%V 6
%N 4
%P 1-5
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The distribution of soil classes is an important factor in agricultural soils. In order to generate the soil classification, fuzzy soil classifications were developed to provide the means to characterize and quantify the soil classes. This paper presents an index of fuzzy soil classification generated by Fuzzy C-means classification. The ability of classification of the soils is tested with a Soil database. Fuzzy c-means approach is also capable of handling the uncertainty existing in soil parameters. As a result, fuzzy c-means clustering can be successfully applied to classify soils.

References
  1. R. Kruse, J. Gebhardt, and F. Klawonn, Foundations of Fuzzy Systems, Wiley, 1994.
  2. Bezdek, JC (1981). Pattern Recognition with Fuzzy Objective Function Algorithms, Plenum, New York.
  3. Zimmerman, HJ (1996). Fuzzy Sets Theory and Its Applications, 3rd ed. Kluwer Academic Publishing, Boston.
  4. S. Abe, and R. Thawonmas, “A Fuzzy Classifier with Ellipsoidal Regions,” IEEE Trans. Fuzzy Systems, vo1.5, no. 3, pp.358-368, 1997.
  5. Jain, A.K, Murty, M.N, Flynn, P.J.: Data Clustering: A Review
  6. Bonner, R.E.: On Some Clustering Techniques. IBM, 1964.
  7. Ball, G.H., Hall, D.J.: ISODATA, A Novel Method of Data Analysis and Pattern Clasification. Standford Res. Institute, Menlo Park, 1965.
  8. Fromm, F.R., Northouse, R.A.: CLASS, A Nonparametric Clustering Algorithm. Pattern Recognition.
  9. Raja, A.,Meister, A., Martverk., P.: Fuzzy Classification Algorithms with Some Applications.
  10. Baraldi, A., Blonda. P.: A Survey of Fuzzy Clustering Algorithms for Pattern Recognition. ICSI, TR-98-038, 1998. Ching-Chang Wong, Chia-Chong Chen, and Shih-Liang Yeh: K-Means-Based Fuzzy Classifier Design.
  11. Setnes, M., Kaymak, U.: Extended Fuzzy Clustering Algorithms.
  12. McBratney, A.B., De Gruijter, J.J.: A Continuum approach to soil classification by modified fuzzy k-means with extragrades.
  13. A Thesis by D.Basavaraju Characterisation and classification of soils in Chandragiri mandal of Chittoor district,Andhra Pradesh.
  14. A thesis titled “Characterization, Classification and Evaluation of Soil Resources in Sivagiri Micro-Water Shed of Pichatur Mandal, Chittoor District, Andhra Pradesh”.
  15. A thesis titled “Morphology and Taxonomy of Soils in Ramachandrapuram Mandal of Chittoor District, Andhra Pradesh”.
  16. George J. Klir and Bo Yan. Fuzzy Sets and Fuzzy Logic. Theory and Applications, PHI.
  17. Soil Survey Staff 1998, Keys to soil taxonomy. Eight Edition, Natural Resource Conservation Services, USDA, Blacksburg, Virginia.
  18. Soil Survey Staff 1951, Soil Survey Manual. US Department of Agricultural Hand book No. 18.
  19. Jager R., 1995. Fuzzy Logic in Control. Delft TU Press, Delft, Belgium.
Index Terms

Computer Science
Information Sciences

Keywords

Soil Classification Fuzzy C-Means Soil database