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Application of a Low-Cost Electronic Nose for Differentiation Between Pathogenic Oomycetes Pythium intermedium and Phytophthora plurivora
| Content Provider | MDPI |
|---|---|
| Author | Przemys, ław Wacławik Ślusarski, Sławomir Borowik, Piotr Adamowicz, Leszek Tarakowski, Rafał Oszako, Tomasz Tkaczyk, Miłosz |
| Copyright Year | 2021 |
| Description | Compared with traditional gas chromatography–mass spectrometry techniques, electronic noses are non-invasive and can be a rapid, cost-effective option for several applications. This paper presents comparative studies of differentiation between odors emitted by two forest pathogens: Pythium and Phytophthora, measured by a low-cost electronic nose. The electronic nose applies six non-specific Figaro Inc. metal oxide sensors. Various features describing shapes of the measurement curves of sensors’ response to the odors’ exposure were extracted and used for building the classification models. As a machine learning algorithm for classification, we use the Support Vector Machine (SVM) method and various measures to assess classification models’ performance. Differentiation between Phytophthora and Pythium species has an important practical aspect allowing forest practitioners to take appropriate plant protection. We demonstrate the possibility to recognize and differentiate between the two mentioned species with acceptable accuracy by our low-cost electronic nose. |
| Starting Page | 1326 |
| e-ISSN | 14248220 |
| DOI | 10.3390/s21041326 |
| Journal | Sensors |
| Issue Number | 4 |
| Volume Number | 21 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-02-13 |
| Access Restriction | Open |
| Subject Keyword | Sensors Remote Sensing Phytophthora Pythium E-nose Odor Classification Artificial Olfaction Electronic Aroma Detection Volatile Organic Compounds Fungal and Oomycetes Volatiles Forest Ecosystems Biosecurity |
| Content Type | Text |
| Resource Type | Article |
