Deep Learning based Recognition of the Indian Medicinal Plant Species

Since the dawn of time, medicinal plants, usually referred to as medicinal herbs, have been employed in traditional medicine. Numerous substances are produced by plants for purposes including defense against pests, diseases, fungus, and herbivorous animals. Antiquated Ayurvedic original copies, Egyptian papyrus, and Chinese books portray the utilization of spices. Medicinal plants and herbs have been used as medicines for over 4000 years. Plant parts such as flowers, leaves and roots are highly medicinal. However, it is a difficult process for agronomists and pharmaceutical companies to identify suitable medicinal plants, resulting in the loss of ancient knowledge of Ayurveda. This research work proposes an automated system to identify plants by using a CNN model. To identify rare new species, a thorough understanding of plants is required. Changes in leaf properties are useful for conducting comparative studies of plants. Therefore, this automated system will help to identify medicinal plants and helps agronomists identify the correct herbs.