The Library
Preliminary studies on detection of fusarium basal rot infection in onions and shallots using electronic nose
Tools
Tools
Tools
Labanska, Malgorzata, Van Amsterdam, Sarah, Jenkins, Sascha, Clarkson, John P. and Covington, James A. (2022) Preliminary studies on detection of fusarium basal rot infection in onions and shallots using electronic nose. Sensors, 22 (14). 5453. doi:10.3390/s22145453 ISSN 1424-8220.
|
PDF
WRAP-Preliminary-studies-on-detection-of-fusarium-basal-rot-infection-in-onions-and-shallots-using-electronic-nose-Covington-22.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (1652Kb) | Preview |
Official URL: http://dx.doi.org/10.3390/s22145453
Abstract
The evaluation of crop health status and early disease detection are critical for implementing a fast response to a pathogen attack, managing crop infection, and minimizing the risk of disease spreading. Fusarium oxysporum f. sp. cepae, which causes fusarium basal rot disease, is considered one of the most harmful pathogens of onion and accounts for considerable crop losses annually. In this work, the capability of the PEN 3 electronic nose system to detect onion and shallot bulbs infected with F. oxysporum f. sp. cepae, to track the progression of fungal infection, and to discriminate between the varying proportions of infected onion bulbs was evaluated. To the best of our knowledge, this is a first report on successful application of an electronic nose to detect fungal infections in post-harvest onion and shallot bulbs. Sensor array responses combined with PCA provided a clear discrimination between non-infected and infected onion and shallot bulbs as well as differentiation between samples with varying proportions of infected bulbs. Classification models based on LDA, SVM, and k-NN algorithms successfully differentiate among various rates of infected bulbs in the samples with accuracy up to 96.9%. Therefore, the electronic nose was proved to be a potentially useful tool for rapid, non-destructive monitoring of the post-harvest crops.
| Item Type: | Journal Article | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Subjects: | S Agriculture > SB Plant culture | ||||||||
| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering Faculty of Science, Engineering and Medicine > Science > Life Sciences (2010- ) |
||||||||
| Library of Congress Subject Headings (LCSH): | Onions -- Diseases and pests, Fusarium oxysporum , Chemical detectors, Olfactometry, Phytopathogenic microorganisms -- Detection, Fusarium diseases of plants | ||||||||
| Journal or Publication Title: | Sensors | ||||||||
| Publisher: | MDPI AG | ||||||||
| ISSN: | 1424-8220 | ||||||||
| Official Date: | 21 July 2022 | ||||||||
| Dates: |
|
||||||||
| Volume: | 22 | ||||||||
| Number: | 14 | ||||||||
| Article Number: | 5453 | ||||||||
| DOI: | 10.3390/s22145453 | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | Published | ||||||||
| Access rights to Published version: | Open Access (Creative Commons) | ||||||||
| Date of first compliant deposit: | 3 August 2022 | ||||||||
| Date of first compliant Open Access: | 8 August 2022 | ||||||||
| RIOXX Funder/Project Grant: |
|
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
Downloads
Downloads per month over past year
