Editorial: Phenotyping; From Plant, to Data, to Impact and Highlights of the International Plant Phenotyping Symposium - IPPS 2018

Cyril Pommier; Trevor Garnett; Carolyn J Lawrence-Dill; Tony Pridmore; Michelle Watt; Roland Pieruschka; Kioumars Ghamkhar

doi:10.3389/fpls.2020.618342

Editorial: Phenotyping; From Plant, to Data, to Impact and Highlights of the International Plant Phenotyping Symposium - IPPS 2018

Front Plant Sci. 2020 Dec 4:11:618342. doi: 10.3389/fpls.2020.618342. eCollection 2020.

Authors

Cyril Pommier^{1

2}, Trevor Garnett³, Carolyn J Lawrence-Dill⁴, Tony Pridmore⁵, Michelle Watt⁶, Roland Pieruschka⁷, Kioumars Ghamkhar⁸

Affiliations

¹ Université Paris-Saclay, INRAE, URGI, Versailles, France.
² Université Paris-Saclay, INRAE, BioinfOmics, Plant Bioinformatics Facility, Versailles, France.
³ The Plant Accelerator, Australian Plant Phenomics Facility, School of Agriculture, Food and Wine, University of Adelaide, Urrbrae, SA, Australia.
⁴ Iowa State University, Ames, IA, United States.
⁵ University of Nottingham, Nottingham, United Kingdom.
⁶ Faculty of Science, School of BioSciences, University of Melbourne, Parkville, VIC, Australia.
⁷ Forschungszentrum Jülich, BG-2: Plant Sciences, Institute for Bio- and Geosciences, Jülich, Germany.
⁸ Grasslands Research Centre, AgResearch, Palmerston North, New Zealand.

No abstract available

Keywords: artificial intelligence; data management; database (all types); high throughput phenomics; image analysis; phenomic integration; phenotype; plant science.

Publication types

Editorial