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

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 4 | April 2026

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Published in:

Volume 11 Issue 3
March-2024
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2403098


Registration ID:
533809

Page Number

a720-a724

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Title

Identification Of Medicinal Plants Through CNN

Abstract

Plants are a main source of food as well as a major source of medicine. We all consumed plants and their related products to support our daily nutrition. Many plants are rich in medicinal value and contain active ingredients for medicinal use. Manual identification of medicinal plants is a time-consuming process and needs the help of experts for plant identification. To overcome this problem, automatic identification and classification of medicinal plants are needed for greater benefit to humankind.

Key Words

Convolutional Neural Network, Plants, Leaves, Images

Cite This Article

"Identification Of Medicinal Plants Through CNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 3, page no.a720-a724, March-2024, Available :http://www.jetir.org/papers/JETIR2403098.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

"Identification Of Medicinal Plants Through CNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 3, page no. ppa720-a724, March-2024, Available at : http://www.jetir.org/papers/JETIR2403098.pdf

Publication Details

Published Paper ID: JETIR2403098
Registration ID: 533809
Published In: Volume 11 | Issue 3 | Year March-2024
DOI (Digital Object Identifier):
Page No: a720-a724
Country: Mumbai, Maharashtra, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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