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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
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Index Terms

Computer Science
Information Sciences

Keywords

Soil Classification Fuzzy C-Means Soil database