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Visible/Near Infrared (Vis/Nir) Spectroscopy And Multivariate Data Analysis (Mvda) For Identification And Quantification Of Olive Leaf Spot (Ols) Disease, Nawaf Abukhalaf, Mazen Salman
Visible/Near Infrared (Vis/Nir) Spectroscopy And Multivariate Data Analysis (Mvda) For Identification And Quantification Of Olive Leaf Spot (Ols) Disease, Nawaf Abukhalaf, Mazen Salman
Palestine Technical University Research Journal
Early detection of plant disease requires usually elaborating methods techniques and especially when symptoms are not visible. Olive Leaf Spot (OLS) infecting upper surface of olive leaves has a long latent infection period. In this work, VIS/NIR spectroscopy was used to determine the latent infection and severity of the pathogens. Two different classification methods were used, Partial Least Squared-Discrimination Analysis (PLS-DA) (linear method) and Support Vector Machine (SVM) (non-linear). SVM-classification was able to classify severity levels 0, 1, 2, 3, 4, and 5 with classification rates of 94, 90, 73, 79, 83 and 100%, respectively The overall classification rate was …