Detecting Sorghum Plant and Head Features from Multispectral UAV Imagery

<div class="floats-full-page floats-full-page-figure"><h2>Figure 11</h2><div class="floats-full-page-caption"><div>(a) Accuracy of sorghum heads determined by the reverse-calculated plot images compared with manually labelled images. (b) Detection results compared to labelled images. Solid yellow arrows show underestimated heads (i.e., triple heads identified as double in image set 1; double heads identified as single in set 2), and dashed arrows show missed detections of green heads in image set 3 (blue: single head; green: double head; red: triple head).</div></div><div class="floats-full-page-content"><table class="figure-group"><tr class="fig-image"><td><object data="https://d31iiq90dwlpfy.cloudfront.net/articles/plantphenomics/volume-2021/9874650/figures/9874650.fig.0011.svgz" name="9874650.fig.0011" type="image/svg+xml"></object></td></tr></table></div></div>

Figure 11 | Detecting Sorghum Plant and Head Features from Multispectral UAV Imagery

title

Figure 11: Detecting Sorghum Plant and Head Features from Multispectral UAV Imagery

description

Figure 11

About this journal

<p>The open access journal <em>Plant Phenomics</em>, published in association with NAU, publishes novel research that advances plant phenotyping and connects phenomics with other research domains.</p>


Journal profile

Meet the editorial board

<p><em>Plant Phenomics'</em> editorial board is led by Seishi Ninomiya (University of Tokyo), Frédéric Baret (French National Research Institute for Agriculture, Food and Environment), and Zong-Ming Cheng (Nanjing Agricultural University/University of Tennessee) and is comprised of leading experts in the field.</p>


Editorial board

More special issue details

<p>Open to submit: <strong><a href="https://spj.sciencemag.org/plant-phenomics-special-issues/plant-functional-phenotyping/">Plant Functional Phenotyping</a></strong>; <strong><a href="https://spj.sciencemag.org/plant-phenomics-special-issues/time-series-phenotyping/">Advances in Proximal Sensing and Image Analysis for Time-Series Phenotyping</a></strong>​​​​​; <strong><a href="https://spj.sciencemag.org/plant-phenomics-special-issues/pma2022/">PMA2022</a></strong>;&nbsp;<strong><a href="https://spj.sciencemag.org/plant-phenomics-special-issues/object-detection/">Object Detection and Image Segmentation for Plant Phenotyping</a></strong></p>

<p>&nbsp;</p>

<p>Read our <a href="https://spj.sciencemag.org/plant-phenomics-special-issues/#published-special-issues">published special issues</a>!</p>


Special issues

Author guidelines

Databases and indexing

Plant Phenomics | Science Partner Journal

The open access journal Plant Phenomics, published in association with NAU, publishes novel research that advances plant phenotyping and connects phenomics with other research domains.