1 Ocak 2020 Dergi makalesi Açık Erişim

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

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  <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/5999</identifier>
  <creators>
    <creator>
      <creatorName>Uygun, Tahsin</creatorName>
      <givenName>Tahsin</givenName>
      <familyName>Uygun</familyName>
      <affiliation>Tokat Gaziosmanpasa Univ, Dept Biosyst Engn, TR-60150 Tokat, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Ozguven, Mehmet Metin</creatorName>
      <givenName>Mehmet Metin</givenName>
      <familyName>Ozguven</familyName>
      <affiliation>Tokat Gaziosmanpasa Univ, Dept Biosyst Engn, TR-60150 Tokat, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Yanar, Durdane</creatorName>
      <givenName>Durdane</givenName>
      <familyName>Yanar</familyName>
      <affiliation>Tokat Gaziosmanpasa Univ, Dept Plant Protect, TR-60150 Tokat, Turkey</affiliation>
    </creator>
  </creators>
  <titles>
    <title>A New Approach To Monitor And Assess The Damage Caused By Two-Spotted Spider Mite</title>
  </titles>
  <publisher>Aperta</publisher>
  <publicationYear>2020</publicationYear>
  <dates>
    <date dateType="Issued">2020-01-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/5999</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1007/s10493-020-00561-8</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">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.</description>
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