Improving QGA-ELM Inversion Model of Rice Leaf Area Index Based on UAV Remote Sensing Image

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/misy/volume-2022/9658966/figures/9658966.fig.0016a.svgz" name="9658966.fig.0016a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Spatial distribution map of race LAI in Hongxing</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/misy/volume-2022/9658966/figures/9658966.fig.0016b.svgz" name="9658966.fig.0016b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Spatial distribution map of race LAI in Anle</td></tr><tr class="fig-image" id="c"><td><object data="https://static.hindawi.com/articles/misy/volume-2022/9658966/figures/9658966.fig.0016c.svgz" name="9658966.fig.0016c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>Spatial distribution map of race LAI in Linmin</td></tr></table>

<div>Spatial distribution map in three farms.</div>

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Figure 16

Figure 16: Improving QGA-ELM Inversion Model of Rice Leaf Area Index Based on UAV Remote Sensing Image 