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Automated Binary based Tree Species Identification

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International Journal of Computer Applications
© 2010 by IJCA Journal
Number 6 - Article 6
Year of Publication: 2010
Authors:
Ugege Peter E.
Ugbogu Omokafe A.
10.5120/1585-2125

Ugege Peter E. and Ugbogu Omokafe A.. Article:Automated Binary based Tree Species Identification. International Journal of Computer Applications 11(6):30–33, December 2010. Published By Foundation of Computer Science. BibTeX

@article{key:article,
	author = {Ugege Peter E. and 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},
	month = {December},
	note = {Published By Foundation of Computer Science}
}

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.

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