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

Fariñas, María DoloresJiménez Carretero, DanielSancho Knapik, DomingoPeguero Pina, José JavierGil Pelegrín, EustaquioGómez Álvarez Arenas, Tomás E.2019-11-292019-11-292019Plant Methods, vol. 15, num. 1, (2019)http://hdl.handle.net/10532/4889Non-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.enAtribución-NoComercial-SinDerivadas 3.0 EspañaInstantaneous and non-destructive relative water content estimation from deep learning applied to resonant ultrasonic spectra of plant leavesJournal ContributionRelaciones planta aguaTratamiento con ultrasonidoHojasContenido de agua