Editorial:: Phenomics

Marcos Egea-Cortines; John Doonan

doi:10.3389/fpls.2018.00678

Editorial: Phenomics

Marcos Egea-Cortines, John Doonan

Department of Life Sciences

Universidad Politécnica de Cartagena

Research output: Contribution to journal › Editorial › peer-review

6 Citations (SciVal)

114 Downloads (Pure)

Original language	English
Article number	678
Journal	Frontiers in Plant Science
Volume	9
DOIs	https://doi.org/10.3389/fpls.2018.00678
Publication status	Published - 23 May 2018

Keywords

phenomics
artificial vision
RGB data
RGB image analysis
multispectral imaging

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10.3389/fpls.2018.00678Licence: CC BY

Editorial: PhenomicsFinal published version, 167 KBLicence: CC BY

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Persistent link

BBSRC Core Strategic Programme in Resilient Crops: Oats
Howarth, C.
01 Apr 2017 → 31 Mar 2022
Project: Externally funded research
Improving models and plant phenotyping for smart agriculture under abiotic stress and co2 (MODCARBOSTRESS)
Doonan, J.
FACCE-JPI
31 Mar 2015 → 30 Mar 2018
Project: Externally funded research
Roots for the Future- A systematic approach to root design - SUREROOT
Humphreys, M., Marley, C., Collins, R., Doonan, J., Hegarty, M., Scollan, N. & Yadav, R.
Biotechnology and Biological Sciences Research Council
01 Apr 2014 → 31 Mar 2019
Project: Externally funded research

Cite this

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title = "Editorial:: Phenomics",

keywords = "phenomics, artificial vision, RGB data, RGB image analysis, multispectral imaging",

author = "Marcos Egea-Cortines and John Doonan",

year = "2018",

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language = "English",

volume = "9",

journal = "Frontiers in Plant Science",

issn = "1664-462X",

publisher = "Frontiers Media",

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T2 - Phenomics

AU - Egea-Cortines, Marcos

AU - Doonan, John

PY - 2018/5/23

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KW - phenomics

KW - artificial vision

KW - RGB data

KW - RGB image analysis

KW - multispectral imaging

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JO - Frontiers in Plant Science

JF - Frontiers in Plant Science

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Editorial: Phenomics

Keywords

Access to Document

Permanent link

Projects

BBSRC Core Strategic Programme in Resilient Crops: Oats

Improving models and plant phenotyping for smart agriculture under abiotic stress and co2 (MODCARBOSTRESS)

Roots for the Future- A systematic approach to root design - SUREROOT

Cite this