Plant Electrical Signal Classification Based on Waveform Similarity
Abstract(1) Background: Plant electrical signals are important physiological traits which reflect plant physiological state. As a kind of phenotypic data, plant action potential (AP) evoked by external stimuli—e.g., electrical stimulation, environmental stress—may be associated with inhibition of gene expression related to stress tolerance. However, plant AP is a response to environment changes and full of variability. It is an aperiodic signal with refractory period, discontinuity, noise, and artifacts. In consequence, there are still challenges to automatically recognize and classify plant AP; (2) Methods: Therefore, we proposed an AP recognition algorithm based on dynamic difference threshold to extract all waveforms similar to AP. Next, an incremental template matching algorithm was used to classify the AP and non-AP waveforms; (3) Results: Experiment results indicated that the template matching algorithm achieved a classification rate of 96.0%, and it was superior to backpropagation artificial neural networks (BP-ANNs), supported vector machine (SVM) and deep learning method; (4) Conclusion: These findings imply that the proposed methods are likely to expand possibilities for rapidly recognizing and classifying plant action potentials in the database in the future. View Full-Text
- Supplementary File 1:
PDF-Document (PDF, 345 KB)
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Chen, Y.; Zhao, D.-J.; Wang, Z.-Y.; Wang, Z.-Y.; Tang, G.; Huang, L. Plant Electrical Signal Classification Based on Waveform Similarity. Algorithms 2016, 9, 70.
Chen Y, Zhao D-J, Wang Z-Y, Wang Z-Y, Tang G, Huang L. Plant Electrical Signal Classification Based on Waveform Similarity. Algorithms. 2016; 9(4):70.Chicago/Turabian Style
Chen, Yang; Zhao, Dong-Jie; Wang, Zi-Yang; Wang, Zhong-Yi; Tang, Guiliang; Huang, Lan. 2016. "Plant Electrical Signal Classification Based on Waveform Similarity." Algorithms 9, no. 4: 70.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.