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Use of Image Analysis to Assess Color Response on Plants Caused by Herbicide Application

Published online by Cambridge University Press:  20 January 2017

Asif Ali ,
Jens C. Streibig ,
Joachim Duus  and
Christian Andreasen
Asif Ali*
Affiliation:
Department of Agriculture and Ecology, Faculty of Science, University of Copenhagen, Hjbakkegaard Allé 13, DK 2630 Taastrup, Denmark
Jens C. Streibig
Affiliation:
Department of Agriculture and Ecology, Faculty of Science, University of Copenhagen, Hjbakkegaard Allé 13, DK 2630 Taastrup, Denmark
Joachim Duus
Affiliation:
Department of Agriculture and Ecology, Faculty of Science, University of Copenhagen, Hjbakkegaard Allé 13, DK 2630 Taastrup, Denmark
Christian Andreasen
Affiliation:
Department of Agriculture and Ecology, Faculty of Science, University of Copenhagen, Hjbakkegaard Allé 13, DK 2630 Taastrup, Denmark
*
Corresponding author's E-mail: asif@life.ku.dk
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Abstract

In herbicide-selectivity experiments, response can be measured by visual inspection, stand counts, plant mortality, and biomass. Some response types are relative to nontreated control. We developed a nondestructive method by analyzing digital color images to quantify color changes in leaves caused by herbicides. The range of color components of green and nongreen parts of the plants and soil in Hue, Saturation, and Brightness (HSB) color space were used for segmentation. The canopy color changes of barley, winter wheat, red fescue, and brome fescue caused by doses of a glyphosate and diflufenican mixture, cycloxydim, diquat dibromide, and fluazifop-p-butyl were described with a log-logistic dose–response model, and the relationship between visual inspection and image analysis was calculated at the effective doses that cause 50% and 90% response (ED50 and ED90, respectively). The ranges of HSB components for the green and nongreen parts of the plants and soil were different. The relative potencies were not significantly different from one, indicating that visual and image analysis estimations were about the same. The comparison results suggest that image analysis can be used to assess color changes of plants in response to some herbicides and may have the potential to provide an objective measurement of symptoms.

En experimentos de selectividad de herbicidas, la respuesta puede ser medida mediante inspección visual, conteo de plantas establecidas, mortalidad de plantas y biomasa. Algunos tipos de respuesta son relativos al testigo no-tratado. Nosotros desarrollamos un método no-destructivo que analiza imágenes digitales a color para cuantificar cambios en el color de las hojas causados por herbicidas. El rango de los componentes de color de partes verdes y no-verdes de las plantas y el suelo en el ámbito de tono, saturación y brillo (HSB) de color fue usado para la segmentación. Los cambios en el color del dosel de cebada, trigo de invierno, Festuca rubra y Vulpia bromoides causados por dosis de una mezcla de glyphosate y diflufenican, cycloxydim, diquat dibromide, y fluazifop-p-butyl fueron descritos con un modelo log-logístico de respuesta a dosis, y la relación entre la inspección visual y el análisis de imagen fue calculada a dosis efectivas que causaron una respuesta del 50% y 90% (ED50 y ED90, respectivamente). Los rangos de los componentes de HSB para las partes verdes y no-verdes de las plantas y el suelo fueron diferentes. Las potencias relativas no fueron significativamente diferentes de uno, indicando que las estimaciones del análisis visual y del de imagen fueron casi las mismas. Los resultados de la comparación sugieren que el análisis de imagen puede ser usado para evaluar los cambios de color de las plantas en respuesta a algunos herbicidas y podría tener potencial para brindar una medida objetiva de los síntomas.

Keywords

Cycloxydimdiflufenicandiquat dibromidefluazifop-p-butylglyphosatebrome fescue, Vulpia bromoides (L.) S.F. Graybarley, Hordeum vulgare L.red fescue, Festuca rubra L.wheat, Triticum aestivum L.Herbicide efficacyvisual inspectionlogarithmic sprayerweeds management
Type
Weed Management—Techniques
Information
Weed Technology , Volume 27 , Issue 3 , September 2013 , pp. 604 - 611
Copyright
Copyright © Weed Science Society of America 

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