Manuscript Number : SHISRRJ247296

Medical Herbs Identification Using Machine Learning

Authors(2) :-K Naresh, M Teja

In Ayurveda, plants have been utilised as a source of medicine since the Vedic era. The most crucial step in making ayurveda medicine is correctly identifying the plants. step, which was completed by hand. Because of the need for mass production, it's critical to automatically identify these plants. In this research, we implement an ensemble supervise machine learning system based on colour, texture, and geometrical aspects called the random forest algorithm for medicinal plant identification.

Authors and Affiliations

K Naresh
Assistant Professor, Department of MCA, Annamacharya Institute of Technology & Sciences, Tirupati, Andhra Pradesh, India
M Teja
Post Graduate, Department of MCA, Annamacharya Institute of Technology & Sciences, Tirupati, Andhra Pradesh, India

Medicinal Plant, Supervise learning, Image Processing, Identification, Automatic, Ayurveda.

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Publication Details

Published in : Volume 7 | Issue 2 | March-April 2024
Date of Publication : 2024-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 519-525
Manuscript Number : SHISRRJ247296
Publisher : Shauryam Research Institute

ISSN : 2581-6306

Cite This Article :

K Naresh, M Teja, "Medical Herbs Identification Using Machine Learning", Shodhshauryam, International Scientific Refereed Research Journal (SHISRRJ), ISSN : 2581-6306, Volume 7, Issue 2, pp.519-525, March-April.2024
URL : https://shisrrj.com/SHISRRJ247296

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