Plant impedance spectroscopy: a review of modeling approaches and applications

Electrochemical impedance spectroscopy has emerged over the past decade as an efficient, non-destructive method to investigate various (eco-)physiological and morphological properties of plants. This work reviews the state-of-the-art of impedance spectra modeling for plant applications. In addition...

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Detalles Bibliográficos
Autores principales: Van Haeverbeke, Maxime, De Baets, Bernard, Stock, Michiel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10426379/
https://www.ncbi.nlm.nih.gov/pubmed/37588419
http://dx.doi.org/10.3389/fpls.2023.1187573
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author Van Haeverbeke, Maxime
De Baets, Bernard
Stock, Michiel
author_facet Van Haeverbeke, Maxime
De Baets, Bernard
Stock, Michiel
author_sort Van Haeverbeke, Maxime
collection PubMed
description Electrochemical impedance spectroscopy has emerged over the past decade as an efficient, non-destructive method to investigate various (eco-)physiological and morphological properties of plants. This work reviews the state-of-the-art of impedance spectra modeling for plant applications. In addition to covering the traditional, widely-used representations of electrochemical impedance spectra, we also consider the more recent machine-learning-based approaches.
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spelling pubmed-104263792023-08-16 Plant impedance spectroscopy: a review of modeling approaches and applications Van Haeverbeke, Maxime De Baets, Bernard Stock, Michiel Front Plant Sci Plant Science Electrochemical impedance spectroscopy has emerged over the past decade as an efficient, non-destructive method to investigate various (eco-)physiological and morphological properties of plants. This work reviews the state-of-the-art of impedance spectra modeling for plant applications. In addition to covering the traditional, widely-used representations of electrochemical impedance spectra, we also consider the more recent machine-learning-based approaches. Frontiers Media S.A. 2023-07-31 /pmc/articles/PMC10426379/ /pubmed/37588419 http://dx.doi.org/10.3389/fpls.2023.1187573 Text en Copyright © 2023 Van Haeverbeke, De Baets and Stock https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Van Haeverbeke, Maxime
De Baets, Bernard
Stock, Michiel
Plant impedance spectroscopy: a review of modeling approaches and applications
title Plant impedance spectroscopy: a review of modeling approaches and applications
title_full Plant impedance spectroscopy: a review of modeling approaches and applications
title_fullStr Plant impedance spectroscopy: a review of modeling approaches and applications
title_full_unstemmed Plant impedance spectroscopy: a review of modeling approaches and applications
title_short Plant impedance spectroscopy: a review of modeling approaches and applications
title_sort plant impedance spectroscopy: a review of modeling approaches and applications
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10426379/
https://www.ncbi.nlm.nih.gov/pubmed/37588419
http://dx.doi.org/10.3389/fpls.2023.1187573
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