Date of Award
Master of Science (MS)
Dr. Shyam S. Kurup
Dr. Mohammed Abdul Muhsen Salem Alyafei
The goal of this study is to classify the Date Palm varieties based on hyperspectral signature technology since it is difficult to identify the Date Palm cultivars without fruits. It will also help to obtain the hyperspectral signature for different types of date palm trees. Moreover, it also assists to determine the wavelength fingerprint of each cultivar and to recommend the best classification protocol differentiating among different cultivars based on spectral signature. Utilizing the Hyperspectral imaging technology precisely on the leaves of different Date Palm cultivars, thus facilitating identification of date palm cultivars without the fruits and make the spatial classification. Hyperspectral benefits enable to detect mixtures of materials within same pixel, to identify specific materials with high degree of accuracy, to get some measure of relative abundance based on depth of absorption features and, to produce the quantitative (rather than qualitative) results. For the treatments, in this study, the six cultivars of Date Palm trees (Barhi, Khadrawi, Khenaizi, Khalas, Fard and Helali) were tested. Ten samples for each cultivar from tissue culture were taken and tested considering the same age and identical conditions (control). Later, the samples were analyzed by using the RGB bands. Analyzing the tissue culture samples, the overall results indicate that, each cultivar of the Date Palm tree has the different spectral signature
Ahmed Al Abdouli, Mohamed Ali Saeed, "HYPERSPECTRAL PROPERTIES OF DATE PALM TREES (PHOENIX DACTYLIFERA L.)" (2020). Theses. 813.