Detecting Citrus in Orchard Environment by Using Improved YOLOv4

<div class="floats-full-page floats-full-page-figure"><h2>Figure 6</h2><div class="floats-full-page-caption"><div>Picture stitching accuracy comparison with different stitching number.</div></div><div class="floats-full-page-content"><table class="figure-group"><tr class="fig-image"><td><object data="https://static-01.hindawi.com/articles/sp/volume-2020/8859237/figures/8859237.fig.006.svgz" name="8859237.fig.006" type="image/svg+xml"></object></td></tr></table></div></div>

Figure 6 | Detecting Citrus in Orchard Environment by Using Improved YOLOv4

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Figure 6: Detecting Citrus in Orchard Environment by Using Improved YOLOv4

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Figure 6

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<p><em>Scientific Programming </em>provides a forum for research results in, and practical experience with, software engineering environments, tools, languages, and models of computation aimed specifically at supporting scientific and engineering computing.</p>


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<p>Chief Editor, Professor Tramontana, is based at the University of Catania and his research primarily concerns the areas of software engineering and distributed systems.</p>


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