Feature Recognition of Crop Growth Information in Precision Farming

<table class="fixed-width table-group" id="tab9"><tr><td><table class="table"><colgroup><col style="width:8.47em"/><col style="width:10.51em"/><col style="width:11.10em"/><col style="width:12.97em"/><col style="width:11.64em"/><col style="width:6.90em"/></colgroup><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr class="thead"><td class="align_left"><i>Signal type</i></td><td class="align_center"><i>normal growing </i><br/><i>group</i></td><td class="align_center"><i>mild drought stress group</i></td><td class="align_center"><i>moderate drought stress group</i></td><td class="align_center"><i>severe drought stress group</i></td><td class="align_center"><i>Average value</i></td></tr><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr><td class="align_left"><i>Identification rate</i></td><td class="align_center"><i>83.3%</i></td><td class="align_center"><i>100%</i></td><td class="align_center"><i>91.67%</i></td><td class="align_center"><i>100%</i></td><td class="align_center"><i>93.75%</i></td></tr><tr class="table-tr"><td colspan="6"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The experimental result of BP neural network.</div>

Complexity

tab9

Table 9

Table 9: Feature Recognition of Crop Growth Information in Precision Farming 