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Field phenotyping for the future

Atkinson, Jonathan A.; Jackson, Robert J.; Bentley, Alison R.; Ober, Eric; Wells, Darren M.

Authors

Robert J. Jackson

Alison R. Bentley

Eric Ober

DARREN WELLS DARREN.WELLS@NOTTINGHAM.AC.UK
Principal Research Fellow



Abstract

Global agricultural production has to double by 2050 to meet the demands of an increasing population and the challenges of a changing climate. Plant phenomics (the characterisation of the full set of phenotypes of a given species) has been proposed as a solution to relieve the ‘phenotyping bottleneck’ between functional genomics and plant breeding studies. In this article, we survey current approaches and describe recent technological and methodological advances for phenotyping under field conditions and discuss the prospects for these emerging technologies in addressing the challenges of future plant research.

Citation

Atkinson, J. A., Jackson, R. J., Bentley, A. R., Ober, E., & Wells, D. M. (in press). Field phenotyping for the future. Annual Plant Reviews Online, 1(3), 719-736. https://doi.org/10.1002/9781119312994.apr0651

Journal Article Type Article
Acceptance Date Jul 6, 2018
Online Publication Date Nov 16, 2018
Deposit Date Jul 10, 2018
Journal Annual Plant Reviews Online
Electronic ISSN 2639-3832
Publisher Wiley
Peer Reviewed Peer Reviewed
Volume 1
Issue 3
Pages 719-736
DOI https://doi.org/10.1002/9781119312994.apr0651
Keywords field phenotyping; phenomics; sensors; phenotyping platforms; drones; root phenotyping; deep learning
Public URL https://nottingham-repository.worktribe.com/output/945431