20.500.12556/DiRROS-8405 Discrimination between abiotic and biotic drought stress in tomatoes using hyperspectral imaging 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. nematode Hyperspectral imaging Drought stress Root-knot nematode Tomato true true true Angleški jezik Ni določen Delo ni kategorizirano 2018-07-20 14:02:11 2018-07-20 14:07:20 2022-09-06 09:47:37 0000-00-00 00:00:00 0 0 0 Soavtorji: Uroš Žibrat, Saša Širca, Polona Strajnar, Jaka Razinger, Matej Knapič, Andrej Vončina, Gregor Urek, Barbara Gerič Stare; 31 Vol. 2018 0000-00-00 PostprintKoncna VTisku NiDoloceno 0000-00-00 0000-00-00 0000-00-00 632 0925-4005 10.1016/j.snb.2018.06.121 5547880 361794 KIS-1-2018_Susic_et_al._Discrimination_between_..._Sensors_and_Actuators_B.pdf KIS-1-2018_Susic_et_al._Discrimination_between_..._Sensors_and_Actuators_B.pdf 1 23BEA0092DFB4149B7EE3A4462E79312 a127fa1e67c05f978d7e9a3146c2cb03d0b300169c9fd4c23607a73cfb26916a 5020aed2-17b5-11ed-b6b8-001a4af901a5 20.500.12556/dirros/09a56b2b-8a83-47a2-a2f6-f889aee5ef96 https://dirros.openscience.si/Dokument.php?lang=slv&id=10303 https://www.sciencedirect.com/science/article/pii/S0925400518312267 1 https://dirros.openscience.si/Dokument.php?lang=slv&id=10302 Kmetijski inštitut Slovenije 0 0 0