Nik Susič (Author), Uroš Žibrat (Author), Saša Širca (Author), Polona Strajnar (Author), Jaka Razinger (Author), Matej Knapič (Author), Andrej Vončina (Author), Gregor Urek (Author), Barbara Gerič Stare (Author)

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;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: KIS - Agricultural Institute of Slovenia
UDC: 632
COBISS: 5547880 Link will open in a new window
ISSN: 0925-4005
Views: 3132
Downloads: 1700
Average score: 0 (0 votes)
Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Type (COBISS): Not categorized
Source comment: Soavtorji: Uroš Žibrat, Saša Širca, Polona Strajnar, Jaka Razinger, Matej Knapič, Andrej Vončina, Gregor Urek, Barbara Gerič Stare;
Pages: str. 842-852
Issue: ǂVol. ǂ273
Chronology: Nov. 2018
DOI: 10.1016/j.snb.2018.06.121
ID: 10949103