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    <identifier>10.57760/sciencedb.04669</identifier>
    <datestamp>2022-11-28T15:32:53Z</datestamp>
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  <dc:date>2022-11-28</dc:date>
  <dc:title>Prediction results of leaf phosphorus concentration for rubber tree</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.04669</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset includes the prediction results of leaf phosphorus concentration for rubber tree yielded by partial least squares regression (PLSR), random forest (RF), and spectral similarity-based approach (SSA), respectively. The presiction results are composed of two parts. One part is generated by PLSR, RF, and SSA using 20 leaf samples as calibration dataset. The other one is produced by PLSR, RF, and SSA employing 160 leaf samples as calibration dataset.</dc:description>
  <dc:subject>prediction result; correlation coefficient; root mean square error</dc:subject>
  <dc:creator>guo peng tao</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-sa/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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