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Spectral Discrimination and Separability Analysis of Crops and Weeds using Deep Learning Techniques

To classify different crops which are cultivated in a mixed agriculture environment using deep learning architecture, whereby the hyperspectral image captured by the airborne spectrometer known as AVIRIS-NG.
To develop GUI tool to study, process and classify Hyperspectral image.