Prediction of Soil Available Boron Content in Visible-Near-Infrared Hyperspectral Based on Different Preprocessing Transformations and Characteristic Wavelengths Modeling

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">RPD</td><td class="align_center">Level</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">RPD ≤ 1.4</td><td class="align_center">C</td></tr><tr><td class="align_left">1.4 &lt; RPD ≤ 2.0</td><td class="align_center">B</td></tr><tr><td class="align_left">RPD &gt; 2.0</td><td class="align_center">A</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The categories of different models based on RPD values.</div>

Computational Intelligence and Neuroscience

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Table 3

Table 3: Prediction of Soil Available Boron Content in Visible-Near-Infrared Hyperspectral Based on Different Preprocessing Transformations and Characteristic Wavelengths Modeling 

Table 3 | Prediction of Soil Available Boron Content in Visible-Near-Infrared Hyperspectral Based on Different Preprocessing Transformations and Characteristic Wavelengths Modeling 