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Priyanka Indoriya

Asha Ambhaikar

Abstract

In Ayurveda, plants were highly valued sources of medicine during the Vedic era. However, when demand for mass production increases, it becomes impractical to identify these plants by hand for medical purposes. In this research, an automated method for CNN Classifier-based medicinal plant identification is proposed. Through the examination of color, texture, and geometric characteristics taken from plant photos, this technique seeks to precisely categorize medicinal plants and offer additional details regarding the disease's properties and course of treatment. The precision and efficiency are further enhanced by the use of image processing techniques. Meeting the growing demand for herbal medicines and streamlining production procedures are benefits of automating this crucial phase in the preparation of Ayurvedic medication.

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