Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Traditional medicinal knowledge has immense
value in modern healthcare systems, especially in regions
that rely on Ayurvedic and herbal treatments. However,
the accurate identification of medicinal plants remains a
challenge due to the need for expert knowledge and the
vast diversity of flora. This paper presents Ayur AI, a
machine learning-based system that automates the
identification of medicinal plants through image
processing techniques. The project combines the power of
computer vision, deep learning, and mobile/web
technologies to help users identify plants by simply
uploading an image. The system aims to promote herbal
medicine awareness, aid researchers, and support farmers
in identifying useful plant species.
Keywords:
Cite Article:
"Ayur AI", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.b324-b331, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505136.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator