SVM Classification Method of Waxy Corn Seeds with Different Vitality Levels Based on Hyperspectral Imaging

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Methods</td><td class="align_center">Variables</td><td class="align_center">Feature wavelengths (nm)</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">2nd derivative</td><td class="align_center">20</td><td class="align_center">466.8984, 518.3363, 554.5661, 564.9512, 580.5571, 601.4174, 648.5726, 664.3586, 711.9191, 738.4728, 775.8057, 791.8618, 856.4238, 878.0646, 888.9074, 894.3345, 905.1999, 937.8861, 976.1908, 1014.679</td></tr><tr><td class="align_left">SPA</td><td class="align_center">8</td><td class="align_center">502.8656, 544.196, 622.3378, 674.9013, 685.459, 696.0318, 738.4728, 943.3469</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Corresponding feature wavelengths selected by the 2nd derivative and SPA.</div>

Journal of Sensors

tab4

Table 4

Table 4: SVM Classification Method of Waxy Corn Seeds with Different Vitality Levels Based on Hyperspectral Imaging 