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Published in:

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

Unique Identifier

JETIR1804002

Page Number

4-6

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Title

FUNGUS ANALYSIS IN CROP USING IMAGE PROCESSING TECHNIQUE

ISSN

2349-5162

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

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 | 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
ISSN Number: 2349-5162

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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




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