UGC Approved Journal no 63975(19)

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

Volume 5 Issue 4
April-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1804002


Registration ID:
180797

Page Number

4-6

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Title

FUNGUS ANALYSIS IN CROP USING IMAGE PROCESSING TECHNIQUE

Abstract

Image Processing Technique used to identify and classify fungal disease symptoms affected on different crops. Identification of symptoms of disease difficult for farmer. Crop protection from the fungus in large farms is done by using computerized image processing technique. The image processing technique can detect diseased leaf using colour information of leaves. The plant diagnosis is limited by human due to the visual nature of the plant monitoring task, computer vision techniques seem to be well adapted. One of the plant products gets reduced by plant disease. The goal is to detect, to identify, and to accurately quantify the symptoms of diseases.

Key Words

Image Processing, Image Pre-processing, Segmentation, Feature Extraction, Classification.

Cite This Article

"FUNGUS ANALYSIS IN CROP USING IMAGE PROCESSING TECHNIQUE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 4, page no.4-6, April-2018, Available :http://www.jetir.org/papers/JETIR1804002.pdf

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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

"FUNGUS ANALYSIS IN CROP USING IMAGE PROCESSING TECHNIQUE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 4, page no. pp4-6, April-2018, Available at : http://www.jetir.org/papers/JETIR1804002.pdf

Publication Details

Published Paper ID: JETIR1804002
Registration ID: 180797
Published In: Volume 5 | Issue 4 | Year April-2018
DOI (Digital Object Identifier):
Page No: 4-6
Country: Umred/ Nagpur, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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