Título

Complex identification of plants from leaves

Autor

Jair Cervantes Canales

Farid García Lamont

Lisbeth Rodríguez Mazahua

ALFONSO ZARCO HIDALGO

JOSE SERGIO RUIZ CASTILLA

Nivel de Acceso

Acceso Abierto

Licencia

http://creativecommons.org/licenses/by/4.0

Materias

Plant identification - ([0302-9743]) Vision system - ([0302-9743]) Feature selection - ([0302-9743]) CIENCIAS SOCIALES - (CTI)

Resumen o descripción

Se presenta una propuesta para el reconocimiento de hojas muy semejantes en su apariencia.

The automatic identification of plant leaves is a very important current topic of research in vision systems. Several researchers have tried to solve the problem of identification from plant leaves proposing various techniques. The proposed techniques in the literature have obtained excellent results on data sets where the leaves have dissimilar features to each other. However, in cases where the leaves are very similar to each other, the classification accuracy falls significantly. In this paper, we proposed a system to deal with the performance problem of machine learning algorithms where the leaves are very similar. The results obtained show that combination of different features and features selection process can improve the classification accuracy.

Editor

Springer

Fecha de publicación

15 de agosto de 2018

Tipo de publicación

Artículo

Recurso de información

http://hdl.handle.net/20.500.11799/94749

Fuente

0302-9743

Idioma

Inglés

Audiencia

Estudiantes

Investigadores

Repositorio Orígen

REPOSITORIO INSTITUCIONAL DE LA UAEM

Descargas

291