UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Published in:

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

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

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Unique Identifier

Published Paper ID:
JETIR1905N29


Registration ID:
212718

Page Number

184-188

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Title

Agricultural Plant Leaf Disease Detection Using Raspberry Pi

Abstract

It is difficult for human eye to detect the diseases on the plant leaf as it is widely spread and difficult to catch, the system proposed in this paper is an image processing unit which will help in the detection of various diseases on cotton leafs. Image processing for accurate detection of disease by using plant leaf, Various spots, patterns on plant leaf are useful in detecting the disease. Further advancement can include the use of digital image processing for more accurate results.

Key Words

RGB (Red Green Blue), Image Processing, ANN (Artificial Neural Network)

Cite This Article

"Agricultural Plant Leaf Disease Detection Using Raspberry Pi", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.184-188, May-2019, Available :http://www.jetir.org/papers/JETIR1905N29.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

"Agricultural Plant Leaf Disease Detection Using Raspberry Pi", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp184-188, May-2019, Available at : http://www.jetir.org/papers/JETIR1905N29.pdf

Publication Details

Published Paper ID: JETIR1905N29
Registration ID: 212718
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 184-188
Country: Pune, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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