Research on Quantitative Evaluation of Remote Sensing and Statistics Based on Wireless Sensors and Farmland Soil Nutrient Variability

<table class="table-group" id="tab9"><tr><td><table class="table"><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr class="thead"><td class="align_left">Organic matter content (%)/time</td><td class="align_center">&lt;10</td><td class="align_center">[10–20)</td><td class="align_center">[20–30)</td><td class="align_center">[30–40]</td><td class="align_center">&gt;40</td></tr><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr><td class="align_left">July 17, 2015</td><td class="align_center">16.724</td><td class="align_center">32.497</td><td class="align_center">30.177</td><td class="align_center">9.246</td><td class="align_center">11.357</td></tr><tr><td class="align_left">November 2, 2020</td><td class="align_center">3.336</td><td class="align_center">6.676</td><td class="align_center">13.348</td><td class="align_center">30.037</td><td class="align_center">46.602</td></tr><tr class="table-tr"><td colspan="6"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Statistical comparison table of organic matter content in a certain area in two periods.</div>

Computational Intelligence and Neuroscience

tab9

Table 9

Table 9: Research on Quantitative Evaluation of Remote Sensing and Statistics Based on Wireless Sensors and Farmland Soil Nutrient Variability 