Abstract: Ayurveda, an ancient Indian system of medicine rooted in the Vedas, has gained global attention for its holistic approach to health. India is well-known for offering an optimal environment that supports a wide variety of medicinal plants. The various components of these plants play a crucial role as key elements in crafting natural remedies. Fascinatingly, numerous medicinal plants thrive in our own backyards or along sidewalks. Identifying and differentiating between these plants is nearly impossible for someone without proper training. The manual process of identifying plant species is both challenging and time-consuming, exacerbated by a lack of expertise in the field. This challenge is especially evident in the accurate classification of medicinal plants, where the process can be intricate and perplexing. To overcome these challenges, this project aims to harness the capabilities of machine learning for the automatic detection of medicinal plants. This approach aims to streamline the identification process, minimizing the reliance on manual labor. The automation of this crucial task not only targets improved efficiency and accuracy but also strives to make it more user-friendly for individuals with diverse levels of expertise. Incorporating Convolutional Neural Networks (CNNs), identified as optimal for the project, the AI algorithm specializes in image classification, particularly suitable for the diverse shapes, colors, and textures of plant leaves. CNNs not only identify the plant but can also extract crucial information on its medicinal properties and practical applications through training on labeled datasets. This innovative fusion of AI and Ayurveda holds immense potential to revolutionize healthcare. Empowering individuals to actively engage in their well-being, the project aims to provide access to the expertise of Ayurveda practitioners, fostering a healthier and sustainable future for all.
Keywords: Medicinal plants, Machine learning, Image processing, Convolutional neural Network, feature extraction, plant recognition
Cite:
K Shramitha Shetty, Lahari Acharya, Riya Miranda, V Lahitha, Dr.Sreeja Rajesh ,"AI IN MEDICINAL PLANT DISCOVERY AND HEALTH CARE ", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 3, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.133113.
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DOI:
10.17148/IJARCCE.2024.133113
