K.J. Halliday
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
Lyndon Smith Lyndon.Smith@uwe.ac.uk
Professor in Computer Simulation and Machine
M.F. Hansen
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 |
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