000859709 001__ 859709
000859709 005__ 20220930130205.0
000859709 0247_ $$2doi$$a10.1186/s13007-019-0386-z
000859709 0247_ $$2Handle$$a2128/21366
000859709 0247_ $$2pmid$$apmid:30651749
000859709 0247_ $$2WOS$$aWOS:000455512500001
000859709 0247_ $$2altmetric$$aaltmetric:53786909
000859709 037__ $$aFZJ-2019-00546
000859709 041__ $$aEnglish
000859709 082__ $$a570
000859709 1001_ $$0P:(DE-Juel1)142555$$aMüller-Linow, Mark$$b0$$eCorresponding author
000859709 245__ $$aPlant Screen Mobile: an open-source mobile device app for plant trait analysisant
000859709 260__ $$aLondon$$bBioMed Central$$c2019
000859709 3367_ $$2DRIVER$$aarticle
000859709 3367_ $$2DataCite$$aOutput Types/Journal article
000859709 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1548254364_28687
000859709 3367_ $$2BibTeX$$aARTICLE
000859709 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000859709 3367_ $$00$$2EndNote$$aJournal Article
000859709 520__ $$aBackgroundThe development of leaf area is one of the fundamental variables to quantify plant growth and physiological function and is therefore widely used to characterize genotypes and their interaction with the environment. To date, analysis of leaf area often requires elaborate and destructive measurements or imaging-based methods accompanied by automation that may result in costly solutions. Consequently in recent years there is an increasing trend towards simple and affordable sensor solutions and methodologies. A major focus is currently on harnessing the potential of applications developed for smartphones that provide access to analysis tools to a wide user basis. However, most existing applications entail significant manual effort during data acquisition and analysis.ResultsWith the development of Plant Screen Mobile we provide a suitable smartphone solution for estimating digital proxies of leaf area and biomass in various imaging scenarios in the lab, greenhouse and in the field. To distinguish between plant tissue and background the core of the application comprises different classification approaches that can be parametrized by users delivering results on-the-fly. We demonstrate the practical applications of computing projected leaf area based on two case studies with Eragrostis and Musa plants. These studies showed highly significant correlations with destructive measurements of leaf area and biomass from both ground truth measurements and estimations from well-established screening systems.
000859709 536__ $$0G:(DE-HGF)POF3-582$$a582 - Plant Science (POF3-582)$$cPOF3-582$$fPOF III$$x0
000859709 536__ $$0G:(DE-Juel1)BMBF-031A053A$$aDPPN - Deutsches Pflanzen Phänotypisierungsnetzwerk (BMBF-031A053A)$$cBMBF-031A053A$$fDeutsches Pflanzen Phänotypisierungsnetzwerk$$x1
000859709 588__ $$aDataset connected to CrossRef
000859709 7001_ $$0P:(DE-Juel1)165792$$aWilhelm, Jens$$b1$$ufzj
000859709 7001_ $$0P:(DE-Juel1)145988$$aBriese, Christoph$$b2
000859709 7001_ $$0P:(DE-Juel1)156560$$aWojciechowski, Tobias$$b3$$ufzj
000859709 7001_ $$0P:(DE-Juel1)129402$$aSchurr, Ulrich$$b4
000859709 7001_ $$0P:(DE-Juel1)143649$$aFiorani, Fabio$$b5$$ufzj
000859709 773__ $$0PERI:(DE-600)2203723-8$$a10.1186/s13007-019-0386-z$$gVol. 15, no. 1, p. 2$$n1$$p2$$tPlant methods$$v15$$x1746-4811$$y2019
000859709 8564_ $$uhttps://juser.fz-juelich.de/record/859709/files/s13007-019-0386-z.pdf$$yOpenAccess
000859709 8564_ $$uhttps://juser.fz-juelich.de/record/859709/files/s13007-019-0386-z.pdf?subformat=pdfa$$xpdfa$$yOpenAccess
000859709 8767_ $$92019-04-16$$d2019-04-16$$eAPC$$jDeposit$$lDeposit: BMC$$p1363794451201783
000859709 909CO $$ooai:juser.fz-juelich.de:859709$$popenCost$$pVDB$$pdriver$$pOpenAPC$$popen_access$$popenaire$$pdnbdelivery
000859709 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)142555$$aForschungszentrum Jülich$$b0$$kFZJ
000859709 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)165792$$aForschungszentrum Jülich$$b1$$kFZJ
000859709 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)156560$$aForschungszentrum Jülich$$b3$$kFZJ
000859709 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129402$$aForschungszentrum Jülich$$b4$$kFZJ
000859709 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)143649$$aForschungszentrum Jülich$$b5$$kFZJ
000859709 9131_ $$0G:(DE-HGF)POF3-582$$1G:(DE-HGF)POF3-580$$2G:(DE-HGF)POF3-500$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bKey Technologies$$lKey Technologies for the Bioeconomy$$vPlant Science$$x0
000859709 9141_ $$y2019
000859709 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS
000859709 915__ $$0StatID:(DE-HGF)1030$$2StatID$$aDBCoverage$$bCurrent Contents - Life Sciences
000859709 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
000859709 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search
000859709 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bPLANT METHODS : 2017
000859709 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal
000859709 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ
000859709 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded
000859709 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection
000859709 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5
000859709 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000859709 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC
000859709 915__ $$0StatID:(DE-HGF)1060$$2StatID$$aDBCoverage$$bCurrent Contents - Agriculture, Biology and Environmental Sciences
000859709 915__ $$0StatID:(DE-HGF)0310$$2StatID$$aDBCoverage$$bNCBI Molecular Biology Database
000859709 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews
000859709 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline
000859709 915__ $$0StatID:(DE-HGF)0320$$2StatID$$aDBCoverage$$bPubMed Central
000859709 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List
000859709 9201_ $$0I:(DE-Juel1)IBG-2-20101118$$kIBG-2$$lPflanzenwissenschaften$$x0
000859709 9801_ $$aFullTexts
000859709 980__ $$ajournal
000859709 980__ $$aVDB
000859709 980__ $$aUNRESTRICTED
000859709 980__ $$aI:(DE-Juel1)IBG-2-20101118
000859709 980__ $$aAPC