discrimination between types of weeds: monocots and dicots

Discriminación entre tipos de malas hierbas: monocotiledóneas y dicotiledóneas Fecha CENTRO DE AUTOMÁTICA Y ROBÓTICA (CAR) CSIC-UPM www.car.upm-csic.es CAR (Sede Madrid): Calle José Gutiérrez Abascal, 2 28006 MADRID – ESPAÑA Tfno.: +34 91 336 30 61; Fax: +34 91 336 30 10 CAR (Sede Arganda): Ctra. Campo Real Km. 0,200 28500 ARGANDA DEL REY (Madrid) – ESPAÑA Tfno.: +34 91 871 19 00; Fax: +34 91 871 70 50 Discrimination between types of weeds: monocots and dicots CENTRO DE AUTOMÁTICA Y ROBÓTICA (CSIC-UPM) Hu invariant moments Type of weed (1) (2) (3) (4) Segmentation Labeling Extraction Classification Monocotiledóneas: Hojas largas y delgadas Dicotiledóneas: Hojas anchas y cortas. camera P.Javier Herrera, José Dorado, Ángela Ribeiro Un objetivo importante en el manejo de malas hierbas es la discriminación entre especies monocotiledóneas y dicotiledóneas, ya que el control de cada uno de estos grupos se realiza con herbicidas específicos. Así, la propuesta más eficiente para el manejo de malas hierbas consiste en aplicar tratamientos localizados con herbicidas selectivos para cada tipo de infestación, en lugar de utilizar herbicidas de amplio espectro en toda la superficie. Un método novedoso para discriminar entre mono- y dicotiledóneas utiliza imágenes adquiridas con una cámara convencional, las cuales son caracterizadas mediante la combinación de los siete momentos de Hu y un conjunto de métodos borrosos de toma de decisiones. Este método ofrece los mejores resultados cuando las malas hierbas se encuentran en un estado de crecimiento temprano, coincidiendo con el momento adecuado para la aplicación de herbicidas. An important objective in weed management is the discrimination between grasses (monocots) and broadleaf weeds (dicots), since these two weed groups can be appropriately controlled by specific herbicides. In fact, efficiency is higher if site-specific treatments with selective herbicides for each type of infestation are applied instead of using a single broadcast herbicide on the whole surface. A novel approach of discrimination between monocot and dicot weeds uses outdoor field images under varying conditions of lighting obtained from a conventional camera, which are characterized by the combination of the seven Hu moments and a set of fuzzy decision- making methods. The proposed combined strategy works properly when the weeds present an early stage of growth, which coincides with the right timing for herbicide application. Funded by the European Union’s Seventh Framework Programme (NMP2-LA-2010-245986) http://www.rhea-project.eu/ Financiado por el Séptimo Programa Marco de la Unión Europea (NMP2-LA-2010-245986) http://www.rhea-project.eu/ Monocots: Long and thin leaves Dicots: Broadleaf and short

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Page 1: Discrimination between types of weeds: monocots and dicots

Discriminación entre tipos de malas hierbas: monocotiledóneas y dicotiledóneas

Fech

CENTRO DE AUTOMÁTICA Y ROBÓTICA (CAR) CSIC-UPM

www.car.upm-csic.es

CAR (Sede Madrid): Calle José Gutiérrez Abascal, 2

28006 MADRID – ESPAÑA

Tfno.: +34 91 336 30 61; Fax: +34 91 336 30 10

CAR (Sede Arganda): Ctra. Campo Real Km. 0,200

28500 ARGANDA DEL REY (Madrid) – ESPAÑA

Tfno.: +34 91 871 19 00; Fax: +34 91 871 70 50

Discrimination between types of weeds: monocots and dicots

CENTRO DE AUTOMÁTICA Y ROBÓTICA (CSIC-UPM)

invariant

moments

Type of weed

(1) (2) (3) (4)

Segmentation Labeling Extraction Classification

Monocotiledóneas: Hojas largas y delgadas

Dicotiledóneas: Hojas anchas y cortas.

camera

P.Javier Herrera, José Dorado, Ángela Ribeiro

Un objetivo importante en el manejo de malas hierbas es

la discriminación entre especies monocotiledóneas y

dicotiledóneas, ya que el control de cada uno de estos

grupos se realiza con herbicidas específicos. Así, la

propuesta más eficiente para el manejo de malas hierbas

consiste en aplicar tratamientos localizados con

herbicidas selectivos para cada tipo de infestación, en

lugar de utilizar herbicidas de amplio espectro en toda la

superficie.

Un método novedoso para discriminar entre mono- y

dicotiledóneas utiliza imágenes adquiridas con una

cámara convencional, las cuales son caracterizadas

mediante la combinación de los siete momentos de Hu y

un conjunto de métodos borrosos de toma de decisiones.

Este método ofrece los mejores resultados cuando las

malas hierbas se encuentran en un estado de crecimiento

temprano, coincidiendo con el momento adecuado para

la aplicación de herbicidas.

An important objective in weed management is the

discrimination between grasses (monocots) and broadleaf

weeds (dicots), since these two weed groups can be

appropriately controlled by specific herbicides. In fact,

efficiency is higher if site-specific treatments with

selective herbicides for each type of infestation are

applied instead of using a single broadcast herbicide on

the whole surface.

A novel approach of discrimination between monocot and

dicot weeds uses outdoor field images under varying

conditions of lighting obtained from a conventional

camera, which are characterized by the combination of

the seven Hu moments and a set of fuzzy decision-

making methods. The proposed combined strategy works

properly when the weeds present an early stage of

growth, which coincides with the right timing for herbicide

application.

Funded by the European Union’s Seventh Framework Programme (NMP2-LA-2010-245986) http://www.rhea-project.eu/

Financiado por el Séptimo Programa Marco de la Unión Europea (NMP2-LA-2010-245986) http://www.rhea-project.eu/

Monocots: Long and thin leaves

Dicots: Broadleaf and short

http://www.rhea-project.eu/

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