Wood Species Recognition Based on Visible and Near-Infrared Spectral Analysis Using Fuzzy Reasoning and Decision-Level Fusion

<table class="table-group" id="tab12"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Configuration</td><td class="align_center">Model</td><td class="align_center">Parameter</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">CPU</td><td class="align_center">Intel I5-8400</td><td class="align_center">6 core 6 thread, CPU clock speed 2.8 GHz</td></tr><tr><td class="align_left">RAM</td><td class="align_center">Samsung</td><td class="align_center">8 GB, DDR4 2800 MHz</td></tr><tr><td class="align_left">Hard disk</td><td class="align_center">Samsung</td><td class="align_center">256 GB, SSD read: 470 MB/s, write: 473 MB/s</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The configuration parameters of the computer used.</div>

Journal of Spectroscopy

tab12

Table 12

Table 12: Wood Species Recognition Based on Visible and Near-Infrared Spectral Analysis Using Fuzzy Reasoning and Decision-Level Fusion 