Classification of diseased plants using separation of point by planes
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A person easily cannot identify a diseased tree by mere eyesight. Different trees are exposed to different diseases. In this paper, our aim is to solve this problem using our algorithm. To serve this purpose, a data set was taken from an online repository named UCI. It is Wilt data set that consists of some diseased trees along with other land cover that are fed to the algorithm to identify whether the tree is diseased or not. There are training and testing samples for the 'diseased trees' and for 'other land cover'. The data comprises of numerical values related to the texture information, generated by segmenting a Pan-sharpened image and also the segments contain spectral information and texture information from the Quickbird multispectral image bands and the panchromatic image band respectively.