Article

Rice diseases classification using feature selection and rule generation techniques

2013-01-01

Abstract excerpt

Development of an automation system for classifying diseases of the infected plants is a growing research area in precision agriculture. The paper aims at classifying different types of rice diseases by extracting features from the infected regions of the rice plant images. Fermi energy based segmentation method has been proposed in the paper to isolate the infected region of the image from its background. Based o...

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Literature Corpus work: df8725fe-4c17-50a9-9e82-119bbca76d01
DOI: 10.1016/j.compag.2012.11.001

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