Identification of Medicinal Plants using Geometric Features of Leaf Image Through SVM

S. A. Angadi; Amrita Arjun Kindalkar

Title:
Identification of Medicinal Plants using Geometric Features of Leaf Image Through SVM

Authors:
Amrita Arjun Kindalkar | S. A. Angadi
DOI:
https://doi.org/10.31142/ijtsrd15725

Cite This Article :

Amrita Arjun Kindalkar | S. A. Angadi "Identification of Medicinal Plants using Geometric Features of Leaf Image Through SVM" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-5, August 2018, pp.12-15, URL: https://www.ijtsrd.com/papers/ijtsrd15725.pdf

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Abstract :
Plants are important to all the living beings. Further in the Indian Science, it is considered as greatest asset and gives rise to a new science called Ayurveda. Some plants provide food some have medicinal value. People instead of curing through medication which is at door step they go behind fastest cure without knowing its side effect. The reason for this is lack of knowledge for identifying medicinal plants. So inorder to avoid this we proposed a computer based technique so that we can identify the plant and give its medicinal values that will help common man to know which are the medicinal plants and also its uses. This paper describes about identifying plants species with the formation of feature set, through computer vision

Keywords :
SVM, Image preprocessing, Feature extraction

Publication Details:

Unique Identification Number : IJTSRD15725

Published In : Volume-2 | Issue-5, August 2018

Page Number(s) : 12-15

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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