Instantaneous and non-destructive relative water content estimation from deep learning applied to resonant ultrasonic spectra of plant leaves

Simple item page
dc.bibliographicCitation.titlePlant Methodsen
dc.bibliographicCitation.volume15(1)es_ES
dc.contributor.authorFariñas, María Doloreses_ES
dc.contributor.authorJiménez Carretero, Danieles_ES
dc.contributor.authorSancho Knapik, Domingoes_ES
dc.contributor.authorPeguero Pina, José Javieres_ES
dc.contributor.authorGil Pelegrín, Eustaquioes_ES
dc.contributor.authorGómez Álvarez Arenas, Tomás E.es_ES
dc.coverage.spatialRecursos forestaleses_ES
dc.date.accessioned2019-11-29T12:57:15Z
dc.date.available2019-11-29T12:57:15Z
dc.date.issued2019es_ES
dc.description.abstractNon-contact resonant ultrasound spectroscopy (NC-RUS) has been proven as a reliable technique for the dynamic determination of leaf water status. It has been already tested in more than 50 plant species. In parallel, relative water content (RWC) is highly used in the ecophysiological field to describe the degree of water saturation in plant leaves. Obtaining RWC implies a cumbersome and destructive process that can introduce artefacts and cannot be determined instantaneously.en
dc.description.statusPublishedes_ES
dc.identifier.citationPlant Methods, vol. 15, num. 1, (2019)
dc.identifier.urihttp://hdl.handle.net/10532/4889
dc.language.isoenes_ES
dc.relation.urihttps://doi.org/10.1186/s13007-019-0511-zes_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subject.agrovocRelaciones planta aguaes
dc.subject.agrovocTratamiento con ultrasonidoes
dc.subject.agrovocHojases
dc.subject.agrovocContenido de aguaes
dc.titleInstantaneous and non-destructive relative water content estimation from deep learning applied to resonant ultrasonic spectra of plant leavesen
dc.typeJournal Contribution*
dc.type.refereedRefereedes_ES
dc.type.specifiedArticlees_ES

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
2019_428.pdf
Size:
2.16 MB
Format:
Adobe Portable Document Format
Description:
Download

Collections

Artículos científicos, técnicos y divulgativos