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
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
2Références
Sensors (Basel). 2009;9(4):2719-45
pubmed: 22574042
Front Plant Sci. 2017 Jan 04;7:1990
pubmed: 28101093
Front Plant Sci. 2016 Aug 05;7:1155
pubmed: 27547208
Curr Opin Biotechnol. 2012 Apr;23(2):227-35
pubmed: 22257752
New Phytol. 2007;174(2):447-455
pubmed: 17388907
Plant Dis. 2015 Oct;99(10):1310-1316
pubmed: 30690990
J Exp Bot. 2003 Nov;54(392):2403-17
pubmed: 14565947