Brachiaria species identification using imaging techniques based on fractal descriptors
Abstract
The use of a rapid and accurate method in diagnosis and classification of species and/or cultivars of forage has practical relevance, scientific and trade in various areas of study. Thus, leaf samples of fodder plant species \textit{Brachiaria} were previously identified, collected and scanned to be treated by means of artificial vision to make the database and be used in subsequent classifications. Forage crops used were: \textit{Brachiaria decumbens} cv. IPEAN; \textit{Brachiaria ruziziensis} Germain \& Evrard; \textit{Brachiaria Brizantha} (Hochst. ex. A. Rich.) Stapf; \textit{Brachiaria arrecta} (Hack.) Stent. and \textit{Brachiaria spp}. The images were analyzed by the fractal descriptors method, where a set of measures are obtained from the values of the fractal dimension at different scales. Therefore such values are used as inputs for a state-of-the-art classifier, the Support Vector Machine, which finally discriminates the images according to the respective species.
Cite
@article{arxiv.1412.7849,
title = {Brachiaria species identification using imaging techniques based on fractal descriptors},
author = {João Batista Florindo and Núbia Rosa da Silva and Liliane Maria Romualdo and Fernanda de Fátima da Silva and Pedro Henrique de Cerqueira Luz and Valdo Rodrigues Herling and Odemir Martinez Bruno},
journal= {arXiv preprint arXiv:1412.7849},
year = {2014}
}
Comments
7 pages, 5 figures