Plant Screen Mobile: an open-source mobile device app for plant trait analysis.

Android Image analysis Machine learning Mobile application Plant image segmentation Projected leaf area

Journal

Plant methods
ISSN: 1746-4811
Titre abrégé: Plant Methods
Pays: England
ID NLM: 101245798

Informations de publication

Date de publication:
2019
Historique:
received: 03 08 2018
accepted: 04 01 2019
entrez: 18 1 2019
pubmed: 18 1 2019
medline: 18 1 2019
Statut: epublish

Résumé

The development of leaf area is one of the fundamental variables to quantify plant growth and physiological function and is therefore widely used to characterize genotypes and their interaction with the environment. To date, analysis of leaf area often requires elaborate and destructive measurements or imaging-based methods accompanied by automation that may result in costly solutions. Consequently in recent years there is an increasing trend towards simple and affordable sensor solutions and methodologies. A major focus is currently on harnessing the potential of applications developed for smartphones that provide access to analysis tools to a wide user basis. However, most existing applications entail significant manual effort during data acquisition and analysis. With the development of We show that a smartphone together with our analysis tool

Sections du résumé

BACKGROUND BACKGROUND
The development of leaf area is one of the fundamental variables to quantify plant growth and physiological function and is therefore widely used to characterize genotypes and their interaction with the environment. To date, analysis of leaf area often requires elaborate and destructive measurements or imaging-based methods accompanied by automation that may result in costly solutions. Consequently in recent years there is an increasing trend towards simple and affordable sensor solutions and methodologies. A major focus is currently on harnessing the potential of applications developed for smartphones that provide access to analysis tools to a wide user basis. However, most existing applications entail significant manual effort during data acquisition and analysis.
RESULTS RESULTS
With the development of
CONCLUSIONS CONCLUSIONS
We show that a smartphone together with our analysis tool

Identifiants

pubmed: 30651749
doi: 10.1186/s13007-019-0386-z
pii: 386
pmc: PMC6329080
doi:

Types de publication

Journal Article

Langues

eng

Pagination

2

Références

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pubmed: 22257752
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pubmed: 17388907
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pubmed: 30690990
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pubmed: 14565947

Auteurs

Mark Müller-Linow (M)

1IBG-2: Plant Sciences, Institute for Bio- and Geosciences, Forschungszentrum Jülich, 52425 Jülich, Germany.

Jens Wilhelm (J)

1IBG-2: Plant Sciences, Institute for Bio- and Geosciences, Forschungszentrum Jülich, 52425 Jülich, Germany.

Christoph Briese (C)

1IBG-2: Plant Sciences, Institute for Bio- and Geosciences, Forschungszentrum Jülich, 52425 Jülich, Germany.
2Present Address: German Aerospace Center (DLR), Lilienthalplatz 7, 38108 Brunswick, Germany.

Tobias Wojciechowski (T)

1IBG-2: Plant Sciences, Institute for Bio- and Geosciences, Forschungszentrum Jülich, 52425 Jülich, Germany.

Ulrich Schurr (U)

1IBG-2: Plant Sciences, Institute for Bio- and Geosciences, Forschungszentrum Jülich, 52425 Jülich, Germany.

Fabio Fiorani (F)

1IBG-2: Plant Sciences, Institute for Bio- and Geosciences, Forschungszentrum Jülich, 52425 Jülich, Germany.

Classifications MeSH