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An Intelligent System for Soil Classification using Unsupervised Learning Aproach

by Olanloye, Dauda Odunayo
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 105 - Number 11
Year of Publication: 2014
Authors: Olanloye, Dauda Odunayo
10.5120/18422-9724

Olanloye, Dauda Odunayo . An Intelligent System for Soil Classification using Unsupervised Learning Aproach. International Journal of Computer Applications. 105, 11 ( November 2014), 21-27. DOI=10.5120/18422-9724

@article{ 10.5120/18422-9724,
author = { Olanloye, Dauda Odunayo },
title = { An Intelligent System for Soil Classification using Unsupervised Learning Aproach },
journal = { International Journal of Computer Applications },
issue_date = { November 2014 },
volume = { 105 },
number = { 11 },
month = { November },
year = { 2014 },
issn = { 0975-8887 },
pages = { 21-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume105/number11/18422-9724/ },
doi = { 10.5120/18422-9724 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:37:28.064997+05:30
%A Olanloye
%A Dauda Odunayo
%T An Intelligent System for Soil Classification using Unsupervised Learning Aproach
%J International Journal of Computer Applications
%@ 0975-8887
%V 105
%N 11
%P 21-27
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The traditional soil analysis technique when applied is time consuming, labour intensive and expensive. The research made an attempt to develop an intelligent system that is capable of classifying soil in a particular location if the hyperspectral data of such location is available. The system was developed using unsupervised learning. Wavelet transform was used to denoise the spectral signal at preprocessing stage. Fuzzy c- means was used for clustering in other to identify the cluster centre. KSOM is applied for the purpose of classifying soil into various classes. The system was implemented using R programming language.

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Index Terms

Computer Science
Information Sciences

Keywords

Intelligent System Hyperspectral Data Spectral Fuzzy C-means KSOM Cluster Centre Wavelet Transform

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