UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 5
May-2021
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2105727


Registration ID:
309836

Page Number

f459-f463

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Title

Sasya Vaidya Software to Detect and Diagnose the disease of the Crop/Plant using AI, ML and Image Processing.

Abstract

The development of such an intelligent system is justified by its economical relevance and by hard efforts necessary to perform a correct diagnosis.

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Cite This Article

"Sasya Vaidya Software to Detect and Diagnose the disease of the Crop/Plant using AI, ML and Image Processing.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 5, page no.f459-f463, May-2021, Available :http://www.jetir.org/papers/JETIR2105727.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

"Sasya Vaidya Software to Detect and Diagnose the disease of the Crop/Plant using AI, ML and Image Processing.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 5, page no. ppf459-f463, May-2021, Available at : http://www.jetir.org/papers/JETIR2105727.pdf

Publication Details

Published Paper ID: JETIR2105727
Registration ID: 309836
Published In: Volume 8 | Issue 5 | Year May-2021
DOI (Digital Object Identifier):
Page No: f459-f463
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication
Published Paper URL :: https://www.jetir.org/view?paper=JETIR2105727
Published Paper PDF: https://www.jetir.org/papers/JETIR2105727

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