期刊
JOURNAL OF THE ROYAL SOCIETY INTERFACE
卷 12, 期 104, 页码 -出版社
ROYAL SOC
DOI: 10.1098/rsif.2014.1225
关键词
plant electrical signal; classification; discriminant analysis; statistical feature; time-series analysis
资金
- project PLants Employed As SEnsor Devices (PLEASED), EC [296582]
Plants sense their environment by producing electrical signals which in essence represent changes in underlying physiological processes. These electrical signals, when monitored, show both stochastic and deterministic dynamics. In this paper, we compute 11 statistical features from the rawnon-stationary plant electrical signal time series to classify the stimulus applied (causing the electrical signal). By using different discriminant analysis-based classification techniques, we successfully establish that there is enough information in the raw electrical signal to classify the stimuli. In the process, we also propose two standard features which consistently give good classification results for three types of stimuli-sodium chloride (NaCl), sulfuric acid (H2SO4) and ozone (O-3). This may facilitate reduction in the complexity involved in computing all the features for online classification of similar external stimuli in future.
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