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Published in:

Volume 7 Issue 3
March-2020
eISSN: 2349-5162

Unique Identifier

JETIR2003004

Page Number

12-18

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Title

Comprehensive Study of Medicinal Plant Classification Using Artificial Intelligent Techniques

ISSN

2349-5162

Cite This Article

"Comprehensive Study of Medicinal Plant Classification Using Artificial Intelligent Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 3, page no.12-18, March-2020, Available :http://www.jetir.org/papers/JETIR2003004.pdf

Abstract

Information about medicinal plants has been transmitted gradually from generation to generation. Medicinal plants are used as a medical resource in almost all cultures by ensuring safety, quality and effectiveness of medicinal plants and herbal drugshave become a key issue in industry in developing countries. Awareness of traditional knowledge of medicinal plants can play a key role in the exploitation and discovery of natural plant resources. In order to maintain this knowledge, comprehensive approach and collaboration are needed to maintain historical records on medicinal plants and use these resources in favor of human beings, before they are destroyed forever. There are different techniques that are carried out using some effective features like Area, Color moment, Edge, Shape feature, texture feature etc. There are different types of identification techniques that can be used to find the medicinal plant.

Key Words

Image Processing, Plants leaves ,Artificial Intelligence.

Cite This Article

"Comprehensive Study of Medicinal Plant Classification Using Artificial Intelligent Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 3, page no. pp12-18, March-2020, Available at : http://www.jetir.org/papers/JETIR2003004.pdf

Publication Details

Published Paper ID: JETIR2003004
Registration ID: 229209
Published In: Volume 7 | Issue 3 | Year March-2020
DOI (Digital Object Identifier):
Page No: 12-18
ISSN Number: 2349-5162

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Cite This Article

"Comprehensive Study of Medicinal Plant Classification Using Artificial Intelligent Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 3, page no. pp12-18, March-2020, Available at : http://www.jetir.org/papers/JETIR2003004.pdf




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