Memorias de investigación
Artículos en revistas:
A computer vision approach for weeds identification through Support Vector Machines
Año:2011
Áreas de investigación
  • Ingeniería eléctrica, electrónica y automática
Datos
Descripción
This paper outlines an automatic computer vision system for the identification of avena sterilis which is a special weed seed growing in cereal crops. The final goal is to reduce the quantity of herbicide to be sprayed as an important and necessary step for precision agriculture. So, only areas where the presence of weeds is important should be sprayed. The main problems for the identification of this kind of weed are its similar spectral signature with respect the crops and also its irregular distribution in the field. It has been designed a new strategy involving two processes: image segmentation and decision making. The image segmentation combines basic suitable image processing techniques in order to extract cells from the image as the low level units. Each cell is described by two area-based attributes measuring the relations among the crops and weeds. The decision making is based on the Support Vector Machines and determines if a cell must be sprayed. The main findings of this paper are reflected in the combination of the segmentation and the Support Vector Machines decision processes. Another important contribution of this approach is the minimum requirements of the system in terms of memory and computation power if compared with other previous works. The performance of the method is illustrated by comparative analysis against some existing strategies. © 2010 Elsevier B.V. All rights reserved.
Internacional
No
JCR del ISI
No
Título de la revista
Applied Soft Computing Journal
ISSN
15684946
Factor de impacto JCR
Información de impacto
Volumen
11
DOI
10.1016/j.asoc.2010.01.011
Número de revista
Desde la página
908
Hasta la página
915
Mes
SIN MES
Ranking
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Participantes
  • Participante: A. Tellaeche csic
  • Autor: G. Pajares CSIC
  • Autor: X.P. Burgos-Artizzu CSIC
  • Autor: Angela Ribeiro Seijas UPM
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Centro o Instituto I+D+i: Centro de Automática y Robótica (CAR). Centro Mixto UPM-CSIC