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    <identifier>10.57760/sciencedb.20366</identifier>
    <datestamp>2025-02-05T02:41:40Z</datestamp>
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  <dc:date>2025-02-05</dc:date>
  <dc:title>Raw data for manuscript &amp;quot;Rapid and Non-destructive Detection of Moisture Content of Wood During Drying Process by Hyperspectral Imaging Technology&amp;quot;</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.20366</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>水分含量是木材性能的重要指标，快速、准确、实时地检测木材的水分含量至关重要。本研究采用高光谱成像技术结合化学计量学技术检测杨木干燥过程中的水分含量。&amp;ldquo;原始数据&amp;rdquo;是指在不同干燥时间后提取的光谱数据。&amp;ldquo;可视化/数据提取&amp;rdquo;是指可视化所需的原始数据。&amp;ldquo;可视化/预测值&amp;rdquo;是指样品每个像素的预测水分含量。</dc:description>
  <dc:subject>Hyperspectral; Moisture content of poplar; Modelling method</dc:subject>
  <dc:creator>Zhibin Yuan</dc:creator>
  <dc:creator>Lexiao Cai</dc:creator>
  <dc:creator>Haihang Wang</dc:creator>
  <dc:creator>Tong Sun</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
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