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    <responseDate>2026-10-12T06:36:45Z</responseDate>
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    <identifier>10.57760/sciencedb.37757</identifier>
    <datestamp>2026-09-13T20:11:43Z</datestamp>
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  <dc:date>2026-09-13</dc:date>
  <dc:title>Citrus Disease Image Dataset</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.37757</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>By publishing the CDID dataset, we aim to promote research in the field of agricultural artificial intelligence and provide the community with a standardized testing platform for developing and comparing new algorithms. The dataset is committed to bridging the gap between academic research and practical application. It provides a solid data foundation and technical support for building a full process intelligent monitoring system of UAV cruise, image collection, disease detection and risk early warning, and helps the development and deployment of robust and real time monitoring systems in precision agriculture.</dc:description>
  <dc:subject>Citrus Disease; artificial intelligence; agriculture</dc:subject>
  <dc:creator>Bing Xu</dc:creator>
  <dc:creator>Xueping Su</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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