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

Povzetek

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.

Ključne besede

nematode;Hyperspectral imaging;Drought stress;Root-knot nematode;Tomato;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.01 - Izvirni znanstveni članek
Organizacija: KIS - Kmetijski inštitut Slovenije
UDK: 632
COBISS: 5547880 Povezava se bo odprla v novem oknu
ISSN: 0925-4005
Št. ogledov: 3132
Št. prenosov: 1700
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Vrsta dela (COBISS): Delo ni kategorizirano
Komentar vira: Soavtorji: Uroš Žibrat, Saša Širca, Polona Strajnar, Jaka Razinger, Matej Knapič, Andrej Vončina, Gregor Urek, Barbara Gerič Stare;
Strani: str. 842-852
Zvezek: ǂVol. ǂ273
Čas izdaje: Nov. 2018
DOI: 10.1016/j.snb.2018.06.121
ID: 10949103