UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 10 | October 2025

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Published in:

Volume 12 Issue 7
July-2025
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2507271


Registration ID:
566211

Page Number

c666-c675

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Title

An Extensive Investigation On Medicinal Plants In The Context Of Machine Learning

Abstract

India is home to a rich diversity of medicinal plants, which play a crucial role in traditional medicine systems such as Ayurveda, Siddha, and Unani. The automatic identification and classification of these medicinal plants using modern technologies like machine learning (ML) and computer vision have significant potential to enhance the conservation, utilization, and commercialization of these resources. This literature article examines 33 papers published between 2010 and 2023, exploring the key themes, methodologies, findings, and gaps in the existing research on this topic, focusing specifically on the different techniques used to identify and classify medicinal plants.

Key Words

Medicinal Plants, Identification, Classification, Leaf Recognition, Machine Learning, Deep Learning

Cite This Article

"An Extensive Investigation On Medicinal Plants In The Context Of Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 7, page no.c666-c675, July-2025, Available :http://www.jetir.org/papers/JETIR2507271.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"An Extensive Investigation On Medicinal Plants In The Context Of Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 7, page no. ppc666-c675, July-2025, Available at : http://www.jetir.org/papers/JETIR2507271.pdf

Publication Details

Published Paper ID: JETIR2507271
Registration ID: 566211
Published In: Volume 12 | Issue 7 | Year July-2025
DOI (Digital Object Identifier):
Page No: c666-c675
Country: Chh. Sambhajinagar (Aurangabad), Maharashtra, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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