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    <titleInfo>
      <title>Spatial estimator of brown plant hopper density from light traps data</title>
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    <name type="personnal">
      <namePart>Vinh Khai Huynh</namePart>
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    <name type="personnal">
      <namePart type="family">Zucker</namePart>
      <namePart type="given">Jean-Daniel</namePart>
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    <name type="personnal">
      <namePart>Hiep Xuan Huynh</namePart>
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    <name type="personnal">
      <namePart type="family">Drogoul</namePart>
      <namePart type="given">Alexis</namePart>
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    <abstract>This paper aims to define an optimal interpolation technique to estimate the density of brown plant hopper (BPH) in Dongthap Province among the Mekong delta in Vietnam. The technique is chosen by assessment between the two methods: Inverse Distance Weight and Ordinary Kriging. First, sample data of light-traps are analyzed by the two mentioned methods running on R packages. Second, the results are visualized on the multi-agent system (GAMA) combined with the geographic information system (GIS). As a result, managers can easily survey the density of BPH populations on rice fields to control the damage of BPH more effectively and bring in higher yield for farmers.</abstract>
    <targetAudience authority="marctarget">specialized</targetAudience>
    <subject authority="local">
      <geographic>VIET NAM</geographic>
      <geographic>MEKONG BASSIN</geographic>
    </subject>
    <classification authority="local">122</classification>
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        <title>2012 IEEE RIVF international conference on computing and communication technologies, research, innovation, and vision for the future</title>
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      <part>
        <extent unit="pages">
          <list> 1-6</list>
        </extent>
      </part>
      <originInfo>
        <place type="text">
          <placeTerm>Piscataway</placeTerm>
        </place>
        <publisher>IEEE</publisher>
        <dateIssued key="date">2012</dateIssued>
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      <name type="conference">
        <namePart>International Conference on Computing and Communication Technologies, Research, Innovation, and Vision for the Future, Ho-Chi-Minh Ville (VNM), 2012/02/27-03/01</namePart>
      </name>
    </relatedItem>
    <identifier type="uri">https://www.documentation.ird.fr/hor/fdi:010079279</identifier>
    <identifier type="doi">10.1109/rivf.2012.6169850</identifier>
    <identifier type="isbn">978-1-4673-0307-1</identifier>
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