The project aims to discriminate the multi-crop types in the hilly terrain using remote sensed hyperspectral data. Hyper spectral imaging helps to obtain the spectrum for each pixel in the image of a scene, identify materials and detects processes. To classify the multi-crops into definite groups of crops, AI and ML techniques will be used with suitable classifiers based on the area and crop will be tabulated.
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