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.
0
2018-07-20 14:02:11
1033
nematode, Hyperspectral imaging, Drought stress, Root-knot nematode, Tomato
r6
Nik
Susič
70
Uroš
Žibrat
70
Saša
Širca
70
Polona
Strajnar
70
Jaka
Razinger
70
Matej
Knapič
70
Andrej
Vončina
70
Gregor
Urek
70
Barbara
Gerič Stare
70
UDK
4
632
ISSN pri članku
9
0925-4005
DOI
15
10.1016/j.snb.2018.06.121
COBISS_ID
3
5547880
OceCobissID
13
361794
KIS-1-2018_Susic_et_al._Discrimination_between_..._Sensors_and_Actuators_B.pdf
868214
Predstavitvena datoteka
2018-07-20 14:02:50
0
Izvorni URL
2018-07-20 14:02:24