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<em>Phenomenal</em>: An automatic open source library for 3D shoot architecture reconstruction and analysis for image-based plant phenotyping

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Academic year: 2021

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Figure 1. Snapshot of an image processing pipeline composed with Phenomenal under the visual programming  environment VisuAlea of the OpenAlea platform, superposed with graphical outputs produced by terminal point  the workflow
Table 1. Summary of the workflow output from eight PhenoArch experiments. In experiments ZB12 and MA14, images of  the plants were only acquired from two side views and one top view
Figure 2.  Architectural traits measured with the Phenomenal analysis algorithm. Measured traits displayed are stem height  (h), path length, leaf length, average and maximal leaf width, leaf insertion angle (α) and azimuth angle (β)
Figure 3. 3D reconstruction of different plant species imaged in the PhenoArch platform with Phenomenal: (A)  Cotton (Gossypium); (B) Apple tree (Malus pumila); (C) Sorghum (Sorghum bicolor); (D-F) Three Maize (Zea  Mays L.) genotypes (EZ38, A375 and PHZ51
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