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Title:Discrimination between abiotic and biotic drought stress in tomatoes using hyperspectral imaging
Authors:ID Susič, Nik (Author)
ID Žibrat, Uroš (Author)
ID Širca, Saša (Author)
ID Strajnar, Polona (Author)
ID Razinger, Jaka (Author)
ID Knapič, Matej (Author)
ID Vončina, Andrej (Author)
ID Urek, Gregor (Author)
ID Gerič Stare, Barbara (Author)
Files:.pdf PDF - Presentation file, download (847,87 KB)
MD5: 23BEA0092DFB4149B7EE3A4462E79312
 
URL URL - Source URL, visit https://www.sciencedirect.com/science/article/pii/S0925400518312267
 
Language:English
Typology:1.01 - Original Scientific Article
Organization:Logo KIS - Agricultural Institute of Slovenia
Abstract:Crop plants are subjected to various biotic and abiotic stresses. Both root-knot nematodes (biotic stress) and water deficiency (abiotic stress) lead to similar drought symptoms in the plant canopy. In this work, hyperspectral imaging was used for early detection of nematode infestation and water deficiency (drought) stress in tomato plants. Hyperspectral data in the range from 400 to 2500 nm of plants subjected to different watering regimes and nematode infestation levels were analysed by partial least squares – discriminant analysis (PLS-DA) and partial least squares – support vector machine (PLS-SVM) classification. PLS-SVM classification achieved up to 100% accuracy differentiating between well-watered and water-deficient plants, and between 90 and 100% when identifying nematode-infested plants. Grouping the data according to the time of imaging increased the accuracy of classification. Shortwave infrared spectral regions associated with the OH and CH stretches were most relevant for the identification of nematode infested plants and severity of infestation. This study demonstrates the capability of hyperspectral imaging to identify and discriminate between biotic and abiotic plant stresses.
Keywords:nematode, Hyperspectral imaging, Drought stress, Root-knot nematode, Tomato
Publication status in journal:In print
Article version:Postprint, final article version, accepted into publication
Number of pages:31
Numbering:Vol.
UDC:632
ISSN on article:0925-4005
DOI:10.1016/j.snb.2018.06.121 New window
COBISS.SI-ID:5547880 New window
Note:Soavtorji: Uroš Žibrat, Saša Širca, Polona Strajnar, Jaka Razinger, Matej Knapič, Andrej Vončina, Gregor Urek, Barbara Gerič Stare;
Publication date in DiRROS:20.07.2018
Views:3104
Downloads:1653
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Record is a part of a journal

Title:Sensors and actuators
Shortened title:Sens. actuators, B, Chem.
Publisher:Elsevier Sequoia
ISSN:0925-4005
COBISS.SI-ID:361794 New window

Licences

License:CC BY-NC-ND 2.5 SI, Creative Commons Attribution-NonCommercial-NoDerivs 2.5 Slovenia
Link:https://creativecommons.org/licenses/by-nc-nd/2.5/si/deed.en
Description:You are free to reproduce and redistribute the material in any medium or format. You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes. If you remix, transform, or build upon the material, you may not distribute the modified material. You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Licensing start date:20.07.2018

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