Abstract

The Agriculture Industry has a momentous role in the development of any country. India facing heavy losses in crop production because of the plant diseases like fungal, bacterial, and viral. Indian farmers are still using traditional techniques for farming and especially the detection of diseases in a plant. Indian farmers are using naked eye observation to check the health of the plant and because of that sometimes wrong detection and classification of diseases cause heavy losses in crop production. It may be prevented using plant disease detection and classification techniques. In this paper, we present the survey and implementation of different plant disease detection and classification approach using machine learning and spectroscopy.

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