Developmental normalization of phenomics data generated by high throughput plant phenotyping systems

Developmental normalization of phenomics data generated by high throughput plant phenotyping systems

Abstract Background Sowing time is commonly used as the temporal reference for Arabidopsis thaliana (Arabidopsis) experiments in high throughput plant phenotyping (HTPP) systems. This relies on the assumption that germination and seedling establishment are uniform across the population. However, ind...

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Bibliographic Details
Main Authors: Diego Lozano-Claros, Xiangxiang Meng, Eddie Custovic, Guang Deng, Oliver Berkowitz, James Whelan, Mathew G. Lewsey
Format: Article
Language:English
Published: BMC 2020-08-01
Series:Plant Methods
Subjects:
High-throughput plant phenotyping
Development
Growth
Computer vision
Machine learning
Phenomics
Online Access:http://link.springer.com/article/10.1186/s13007-020-00653-x

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http://link.springer.com/article/10.1186/s13007-020-00653-x

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