Plant electrical activity analysis for ozone pollution critical level detection
| Autor: | F. Francini, Simone Morosi, Stefano Mancuso, Elisa Masi, E. Del Re, Marco Dolfi, Ilaria Colzi, R. Magliacani |
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| Rok vydání: | 2015 |
| Předmět: |
Ozone pollution
Ozone Correlation coefficient fungi Air pollution food and beverages Atmospheric pollution Method of analysis medicine.disease_cause chemistry.chemical_compound Critical level chemistry medicine Environmental science Monitoring methods air pollution environmental science computing signal classification signal detection plant electrical activity analysis ozone pollution critical level detection environmental conditions atmospheric pollution organic sensing devices correlation theory ozone concentrations Gases Correlation Monitoring Biomedical monitoring Air pollution Pollution measurement Signal processing algorithms Plant electrical signal ozone pollution spike detection waveform correlation data classification Remote sensing |
| Zdroj: | EUSIPCO |
| DOI: | 10.1109/eusipco.2015.7362821 |
| Popis: | The electrical activity signals in plants can provide useful information to monitor environmental conditions, such as atmospheric pollution. Nonetheless the study of the relationship between environmental stimuli and electrical responses of plants is still a critical step in developing technologies that use plants as organic sensing devices. In this paper an automatic method of analysis of plant electrical signals for ozone critical levels detection is proposed, based on the fundamentals of correlation theory. In order to classify the morphology characteristics of plant response to ozone exposure we used a segmentation of time series measurements of the electrical activity of plants before, during and after the stimulation. Then, we extracted the significant deviations from the baseline trend to detect and identify the response to a known stimulus, in terms of correlation coefficient. As a result, the proposed detection algorithm represents a novel monitoring method for detecting critical levels of ozone concentrations. |
| Databáze: | OpenAIRE |
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