A new approach to monitor and assess the damage caused by two-spotted spider mite.
Exp Appl Acarol
; 82(3): 335-346, 2020 Nov.
Article
en En
| MEDLINE
| ID: mdl-33085036
This study uses an image-processing technique to determine the damage level caused by two-spotted spider mite (Tetranychus urticae Koch) to cucumber plants and changes in the number of mites in a greenhouse. Firstly, a new agricultural platform was developed to ensure camera stability for capturing quality images. The images of 50 leaves infested with T. urticae were captured weekly for 5 weeks with the platform, which resulted in 250 images. Fifty of these captured images were randomly selected and processed with an image-processing algorithm developed using an image processing toolbox module of MATLAB. The results obtained from the image processing algorithm were compared with expert observations. The image-processing method predicted the damage with 3.91 root mean squared error (RMSE). A highly significant positive relationship was found between image processing and expert observations. The results indicate that this new image-processing method may be successfully used in place of expert observation to determine T. urticae damage in greenhouses.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Procesamiento de Imagen Asistido por Computador
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Cucumis sativus
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Tetranychidae
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Herbivoria
Límite:
Animals
Idioma:
En
Revista:
Exp Appl Acarol
Asunto de la revista:
BIOLOGIA
/
PARASITOLOGIA
Año:
2020
Tipo del documento:
Article
País de afiliación:
Turquía
Pais de publicación:
Países Bajos