ArticleScientific reports2019
Electrophysiological assessment of plant status outside a Faraday cage using supervised machine learning.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 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
27 citing papers in PubMed, 74 citations in OpenAlex.
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- Endogenous Circadian Rhythms in Plant Bioelectric Signals: Cross-Station Replication and Visitor-Driven Suppression in a Public Exhibition.Biomimetics (Basel, Switzerland) · 2026Article
- Magnetometry for Agriculture and Animal Systems: From Classical Sensors to Quantum-Enabled Biosensing.Biosensors · 2026Review
- Pierceable, Water-Resistant, and Transparent Nanofilm Electrodes Comprising Carbon Nanotubes for Long-Term Monitoring of Plant Electrophysiology.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Cultivation System Dominates Cucumber Performance and Root-Zone Microbiomes Across Biochar Particle Sizes.Plants (Basel, Switzerland) · 2026Article
- Spatial Optimization of Electrophysiological Signal Acquisition inPlants (Basel, Switzerland) · 2026Article
- Adaptable thermoresponsive polymer for long-term electrical coupling in plant electrophysiology monitoring.Science advances · 2026Article
- Characterization of wound-induced electrical signals and reactive oxygen species in chickpeaPlant signaling & behavior · 2025Article
- Data of electrical signalling in tomato for the detection of powdery mildew.Data in brief · 2025Article
- Continuous monitoring of soybean (Glycine max) electrical signaling during stink bug (Euschistus heros) infestation and plant protection measures.Scientific reports · 2025Article
- Towards Health Status Determination and Local Weather Forecasts fromBiomimetics (Basel, Switzerland) · 2025Article
- A novel measuring system enables the noncontact real-time monitoring of very low net concentrations of plant-emitted ions in the air that may serve for plant ion homeostasis research.BMC plant biology · 2025Article
- Analysis of Electrome as a Tool for Plant Monitoring: Progress and Perspectives.Plants (Basel, Switzerland) · 2025Review
- Wearable Standalone Sensing Systems for Smart Agriculture.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Common bean under different water availability reveals classifiable stimuli-specific signatures in plant electrome.Plant signaling & behavior · 2024Article
- A technical survey on practical applications and guidelines for IoT sensors in precision agriculture and viticulture.Scientific reports · 2024Article
- Analysis of the Mechanisms Underlying the Specificity of the Variation Potential Induced by Different Stimuli.Plants (Basel, Switzerland) · 2024Article
- Can Plants Perceive Human Gestures? Using AI to Track Eurythmic Human-Plant Interaction.Biomimetics (Basel, Switzerland) · 2024Article
- Detecting stress caused by nitrogen deficit using deep learning techniques applied on plant electrophysiological data.Scientific reports · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Living organisms have evolved complex signaling networks to drive appropriate physiological processes in response to changing environmental conditions. Amongst them, electric signals are a universal method to rapidly transmit information. In animals, bioelectrical activity measurements in the heart or the brain provide information about health status. In plants, practical measurements of bioelectrical activity are in their infancy and transposition of technology used in human medicine could therefore, by analogy provide insight about the physiological status of plants. This paper reports on the development and testing of an innovative electrophysiological sensor that can be used in greenhouse production conditions, without a Faraday cage, enabling real-time electric signal measurements. The bioelectrical activity is modified in response to water stress conditions or to nycthemeral rhythm. Furthermore, the automatic classification of plant status using supervised machine learning allows detection of these physiological modifications. This sensor represents an efficient alternative agronomic tool at the service of producers for decision support or for taking preventive measures before initial visual symptoms of plant stress appear.
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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.