A novel mesh processing based technique for 3D plant analysis

Background In recent years, imaging based, automated, non-invasive, and non-destructive high-throughput plant phenotyping platforms have become popular tools for plant biology, underpinning the field of plant phenomics. Such platforms acquire and record large amounts of raw data that must be accurat...

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Bibliographic Details
Published in:	BMC plant biology Vol. 12; no. 1; p. 63
Main Authors:	Paproki, Anthony, Sirault, Xavier, Berry, Scott, Furbank, Robert, Fripp, Jurgen
Format:	Journal Article
Language:	English
Published:	London BioMed Central 03.05.2012 BioMed Central Ltd Springer Nature B.V BMC
Subjects:	Agriculture Algorithms Automation Biomedical and Life Sciences Botanical research Comparative analysis Correlation coefficient Cotton Development and cell biology Electronic Data Processing - methods Gossypium - anatomy & histology Gossypium - growth & development Grain size Image processing Image Processing, Computer-Assisted - methods Imaging systems Imaging, Three-Dimensional - methods Invasive plants Leaves Life Sciences Medical research Methodology Methodology Article Methods Parameter estimation Phenotype Plant Leaves - anatomy & histology Plant Leaves - growth & development Plant physiology Plant Sciences Plant Stems - anatomy & histology Plant Stems - growth & development Studies Technology application Time Factors Tree Biology Australia Mesh Segmentation Petiole Length Main Stem Leaf Width Phenotypic Parameter
ISSN:	1471-2229, 1471-2229
Online Access:	Get full text
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