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Photometric stereo technique suitability study for plant phenotyping

Halliday, K.J.; Smith, L.; Hansen, M.F.; Smith, Melvyn; Bernotas, G.; Scorza, L.C.T.; McCormick, A.; Smith, M.L.

Authors

K.J. Halliday

Lyndon Smith Lyndon.Smith@uwe.ac.uk
Professor in Computer Simulation and Machine

M.F. Hansen

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Melvyn Smith Melvyn.Smith@uwe.ac.uk
Research Centre Director Vision Lab/Prof

Gytis Bernotas Gytis.Bernotas@uwe.ac.uk
Research Fellow in Computer Vision and Machine Learning

L.C.T. Scorza

A. McCormick

M.L. Smith



Abstract

The dynamic quantification of growth traits is critical for building accurate modelling tools to predict plant behaviour under different growth environments, and consequently in designing strategies to improve plant health and overall yields. We are interested in a light-regulated mechanism called the shade avoidance response (SAR), which appears in high-density planting and results in elongated stems, increased leaf movement (hyponasty) and reduced yields.

Presentation Conference Type Conference Paper (Published)
Conference Name International Conference on Computer Vision - Computer Vision Problems in Plant Phenotyping
Start Date Oct 28, 2017
End Date Oct 28, 2017
Acceptance Date Aug 28, 2017
Publication Date Apr 12, 2017
Deposit Date Apr 30, 2021
Public URL https://uwe-repository.worktribe.com/output/7319766
Publisher URL https://www.plant-phenotyping.org/lw_resource/datapool/systemfiles/elements/files/0fdb3d2b-9856-11e7-9e7c-dead53a91d31/current/document/CVPPP_Abstract_13.pdf