An Optimization Method for the Layout of Soil Humidity Sensors Based on Compressed Sensing

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static-preview.hindawi.com/articles/js/volume-2021/9901990/figures/9901990.fig.007a.svgz" name="9901990.fig.007a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Reconstruction effects of 10 sensors</td></tr><tr class="fig-image" id="b"><td><object data="https://static-preview.hindawi.com/articles/js/volume-2021/9901990/figures/9901990.fig.007b.svgz" name="9901990.fig.007b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Reconstruction effects of 20 sensors</td></tr><tr class="fig-image" id="c"><td><object data="https://static-preview.hindawi.com/articles/js/volume-2021/9901990/figures/9901990.fig.007c.svgz" name="9901990.fig.007c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>Reconstruction effects of 40 sensors</td></tr></table>

<div>Error-sparsity variation curve.</div>

Journal of Sensors

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Figure 7

Figure 7: An Optimization Method for the Layout of Soil Humidity Sensors Based on Compressed Sensing 