ReviewFrontiers in plant science2023
Plant impedance spectroscopy: a review of modeling approaches and applications.
Review in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
10 citing papers in PubMed.
- Leaf electrophysiological readouts reveal bicarbonate-associated shifts in early water-deficit response modes inPlant signaling & behavior · 2026Article
- Biomass-derived nitrogen-doped carbon quantum dot-embedded electrospun PVA/PVP seed coatings for the electrochemical monitoring of germination and stress responses inNanoscale advances · 2026Article
- Plant Cell-on-Chip (PCOC): Exploring the Electrical Modulation Capability of Plant Cells.Micromachines · 2026Article
- Review
- Bioimpedance-based evaluation of relative leaf age in mango twigs using electrical impedance spectroscopy.Journal of electrical bioimpedance · 2026Article
- Internet of Plants: Machine Learning System for Bioimpedance-Based Plant Monitoring.Sensors (Basel, Switzerland) · 2025Article
- Classifying Storage Temperature for Mandarin (Sensors (Basel, Switzerland) · 2025Article
- Electrochemical impedance spectroscopy as a micropropagation monitoring tool for plants: A case study of tamarilloiScience · 2025Article
- Biofeedback-Based Closed-Loop Phytoactuation in Vertical Farming and Controlled-Environment Agriculture.Biomimetics (Basel, Switzerland) · 2024Article
- Phenotyping of Drought-Stressed Poplar Saplings Using Exemplar-Based Data Generation and Leaf-Level Structural Analysis.Plant phenomics (Washington, D.C.) · 2024Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.