UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Volume 11 | Issue 5 | May 2024

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Published in:

Volume 11 Issue 4
April-2024
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2404H09


Registration ID:
539333

Page Number

q72-q76

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Title

Automated Plant Species Identification on Leaves Through Image Processing Techniques

Abstract

This paper represents a novel approach to automated plant species identification based on leaf images using advanced image processing techniques. The proposed method integrates machine learning algorithms and computer vision methods to accurately classify plant species from leaf characteristics captured through imaging technology. image processing methods and their identity on ground and many areas, The system aims to revolutionize botanical research, agricultural management, and ecosystem monitoring by providing a rapid and efficient tool for plant species identification.

Key Words

1. computer vision for identify plant species, 2. ecosystem monitoring, 3. Revolution botanical study, 4. Agriculture management.

Cite This Article

"Automated Plant Species Identification on Leaves Through Image Processing Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.q72-q76, April-2024, Available :http://www.jetir.org/papers/JETIR2404H09.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

"Automated Plant Species Identification on Leaves Through Image Processing Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppq72-q76, April-2024, Available at : http://www.jetir.org/papers/JETIR2404H09.pdf

Publication Details

Published Paper ID: JETIR2404H09
Registration ID: 539333
Published In: Volume 11 | Issue 4 | Year April-2024
DOI (Digital Object Identifier):
Page No: q72-q76
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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