Plantae: Medicinal Plant Classification Using Machine Learning

Plantae: Medicinal Plant Classification Using Machine Learning

Registration ID: IJNRD_217320

Published ID: IJNRD2405137

DOI: Click Here to Get

Vaidehi subhedar , Simran Bhisikar , Akansha Patil , Rutuja Hulke , Harshal Waghmare

Keywords: Convolutional neural networks, deep learning, and neural networks

Ayurveda has employed plants as a source of healing since the Vedic era. The most crucial manual process in the creation of ayurveda medicine is the identification of the proper plant. The automatic identification of these units is crucial due to the necessity for mass production. Our major goal is to develop a Deep Learning-based system for identifying medicinal plants. This approach will accurately classify the various types of medicinal plants. It is crucial to classify and identify medicinal plants in order to provide better care. We employ physiological or morphological leaf texture, shape, and color as the characteristics set of the data. To build a highly accurate system, we use CNN architecture to train our data.

Published Paper   E-Certificate

"Plantae: Medicinal Plant Classification Using Machine Learning", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 5, page no.b239-b245, May-2024, Available :https://ijnrd.org/papers/IJNRD2405137.pdf

Volume 9 Issue 5, May-2024

Pages : b239-b245

Paper Reg. ID: IJNRD_217320

Published Paper Id: IJNRD2405137

Downloads: 000121226

Research Area: Health Science 

Country: nagpur, maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2405137.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405137

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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