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    <titleInfo>
      <title>A powerful method for measuring fish size of small-scale fishery catches using ImageJ</title>
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      <namePart type="family">Andrialovanirina</namePart>
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    <name type="personnal">
      <namePart type="family">Ponton</namePart>
      <namePart type="given">Dominique</namePart>
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    <name type="personnal">
      <namePart type="family">Mahafina</namePart>
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    <name type="personnal">
      <namePart type="family">Léopold</namePart>
      <namePart type="given">Marc</namePart>
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    <abstract>Measuring fish length is useful for exploring size structure of catches and fishing effects on marine resources. However manually measuring large numbers of individuals requires time-consuming manipulations, which are hardly operational in the context of tropical small-scale fisheries. To overcome this limitation, we developed a method to automatically measure total fish length using digital images and an analytical procedure using the ImageJ software. For testing this procedure, a total of 180 fishes (3 to 50 cm TL) from 19 families, presenting two color patterns and two caudal fin types, were obtained from small-scale fishers in southwestern Madagascar in 2018. We took standardized images of the fishes using a locally made, cost-effective camera-equipped device. The accuracy of fish size estimates and the time taken for measurements were compared across the ImageJ automatic procedure, manual measurements made on-screen using ImageJ, and measurements using an ichthyometer, the latter providing the reference fish length. The ImageJ automatic measurement procedure reached 98.4% accuracy while the measurement time was reduced by 57% and 40% compared to the measures using an ichthyometer and ImageJ on-screen tools, respectively. We conclude that the automatic measurement procedure provides very effective results for fish &lt; 50 cm TL. This method is relevant for governmental, non-governmental, and research organizations that investigate size-related fishing and management impacts on fish community structure and dynamics.</abstract>
    <targetAudience authority="marctarget">specialized</targetAudience>
    <subject>
      <topic>automatic fish measurement</topic>
      <topic>catch size structure</topic>
      <topic>image analysis</topic>
      <topic>reef</topic>
      <topic>fish</topic>
    </subject>
    <subject authority="local">
      <geographic>MADAGASCAR</geographic>
    </subject>
    <classification authority="local">040</classification>
    <classification authority="local">122</classification>
    <relatedItem type="host">
      <titleInfo>
        <title>Fisheries Research</title>
      </titleInfo>
      <part>
        <detail type="volume">
          <number>223</number>
        </detail>
        <extent unit="pages">
          <list> art. 105425 [8 p.]</list>
        </extent>
      </part>
      <originInfo>
        <dateIssued>2020</dateIssued>
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      <identifier type="issn">0165-7836</identifier>
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    <identifier type="uri">https://www.documentation.ird.fr/hor/fdi:010077864</identifier>
    <identifier type="doi">10.1016/j.fishres.2019.105425</identifier>
    <identifier type="issn">0165-7836</identifier>
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      <recordCreationDate encoding="w3cdtf">2020-03-11</recordCreationDate>
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