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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 …
Landscape Design And Architecture Of Wooden Churches In Ukraine, Valentyna Kuryliak, Volodymyr Dudarets, Valeriy Bulatov
Landscape Design And Architecture Of Wooden Churches In Ukraine, Valentyna Kuryliak, Volodymyr Dudarets, Valeriy Bulatov
Occasional Papers on Religion in Eastern Europe
The article examines the features of landscape design and architecture of wooden churches in Ukraine. Analysis of literary sources shows that the sacred wooden architecture of Ukraine is a source of inspiration for artists, art historians, writers, and other people interested in church buildings made of wood. During the research process, it was found that the natural landscape exactly complements the architecture of wooden temples, creating a natural environment for worshiping God. It is important to emphasize the following features, highlighted in the study of temple structures made of wood on the territory of Ukraine. First, the builders carefully selected …