This title appears in the Scientific Report :
2019
Please use the identifier:
http://hdl.handle.net/2128/21366 in citations.
Please use the identifier: http://dx.doi.org/10.1186/s13007-019-0386-z in citations.
Plant Screen Mobile: an open-source mobile device app for plant trait analysisant
Plant Screen Mobile: an open-source mobile device app for plant trait analysisant
BackgroundThe 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 me...
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Personal Name(s): | Müller-Linow, Mark (Corresponding author) |
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Wilhelm, Jens / Briese, Christoph / Wojciechowski, Tobias / Schurr, Ulrich / Fiorani, Fabio | |
Contributing Institute: |
Pflanzenwissenschaften; IBG-2 |
Published in: | Plant methods, 15 (2019) 1, S. 2 |
Imprint: |
London
BioMed Central
2019
|
PubMed ID: |
30651749 |
DOI: |
10.1186/s13007-019-0386-z |
Document Type: |
Journal Article |
Research Program: |
Deutsches Pflanzen Phänotypisierungsnetzwerk Plant Science |
Link: |
OpenAccess OpenAccess |
Publikationsportal JuSER |
Please use the identifier: http://dx.doi.org/10.1186/s13007-019-0386-z in citations.
BackgroundThe 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.ResultsWith the development of Plant Screen Mobile we provide a suitable smartphone solution for estimating digital proxies of leaf area and biomass in various imaging scenarios in the lab, greenhouse and in the field. To distinguish between plant tissue and background the core of the application comprises different classification approaches that can be parametrized by users delivering results on-the-fly. We demonstrate the practical applications of computing projected leaf area based on two case studies with Eragrostis and Musa plants. These studies showed highly significant correlations with destructive measurements of leaf area and biomass from both ground truth measurements and estimations from well-established screening systems. |