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A new approach to monitor and assess the damage caused by two-spotted spider mite

Uygun, Tahsin; Ozguven, Mehmet Metin; Yanar, Durdane


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      {
        "affiliation": "Tokat Gaziosmanpasa Univ, Dept Biosyst Engn, TR-60150 Tokat, Turkey", 
        "name": "Uygun, Tahsin"
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      {
        "affiliation": "Tokat Gaziosmanpasa Univ, Dept Biosyst Engn, TR-60150 Tokat, Turkey", 
        "name": "Ozguven, Mehmet Metin"
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      {
        "affiliation": "Tokat Gaziosmanpasa Univ, Dept Plant Protect, TR-60150 Tokat, Turkey", 
        "name": "Yanar, Durdane"
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    ], 
    "description": "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.", 
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      "pages": "335-346", 
      "title": "EXPERIMENTAL AND APPLIED ACAROLOGY", 
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    "publication_date": "2020-01-01", 
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