Research Article
Article:Automated Binary based Tree Species Identification
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 11 - Issue 6 |
| Published: December 2010 |
| Authors: Ugege Peter E., Ugbogu Omokafe A. |
10.5120/1585-2125
|
Ugege Peter E., Ugbogu Omokafe A. . Article:Automated Binary based Tree Species Identification. International Journal of Computer Applications. 11, 6 (December 2010), 30-33. DOI=10.5120/1585-2125
@article{ 10.5120/1585-2125,
author = { Ugege Peter E.,Ugbogu Omokafe A. },
title = { Article:Automated Binary based Tree Species Identification },
journal = { International Journal of Computer Applications },
year = { 2010 },
volume = { 11 },
number = { 6 },
pages = { 30-33 },
doi = { 10.5120/1585-2125 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2010
%A Ugege Peter E.
%A Ugbogu Omokafe A.
%T Article:Automated Binary based Tree Species Identification%T
%J International Journal of Computer Applications
%V 11
%N 6
%P 30-33
%R 10.5120/1585-2125
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Although automated species identification for many reasons is not yet widely employed, efforts towards the development of automated species identification systems within the last decade is extremely encouraging; that such an approach has the potential to make valuable contribution towards reducing the burden of routine identification. In this work, we developed a system that uses binary numbers generated from the morphological characters of trees to uniquely identify all Nigerian tree species.
References
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