Plant 3D (P3D): a plant phenotyping toolkit for 3D point clouds
2020; Oxford University Press; Volume: 36; Issue: 12 Linguagem: Inglês
10.1093/bioinformatics/btaa220
ISSN1367-4811
AutoresIllia Ziamtsov, Saket Navlakha,
Tópico(s)Remote Sensing and LiDAR Applications
ResumoDeveloping methods to efficiently analyze 3D point cloud data of plant architectures remain challenging for many phenotyping applications. Here, we describe a tool that tackles four core phenotyping tasks: classification of cloud points into stem and lamina points, graph skeletonization of the stem points, segmentation of individual lamina and whole leaf labeling. These four tasks are critical for numerous downstream phenotyping goals, such as quantifying plant biomass, performing morphological analyses of plant shapes and uncovering genotype to phenotype relationships. The Plant 3D tool provides an intuitive graphical user interface, a fast 3D rendering engine for visualizing plants with millions of cloud points, and several graph-theoretic and machine-learning algorithms for 3D architecture analyses.P3D is open-source and implemented in C++. Source code and Windows installer are freely available at https://github.com/iziamtso/P3D/.iziamtso@ucsd.edu or navlakha@cshl.edu.Supplementary data are available at Bioinformatics online.
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