UGC Approved Journal no 63975(19)

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Published in:

Volume 5 Issue 12
December-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIREC06060


Registration ID:
233615

Page Number

519-527

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Title

Potato Leaf Diseases Identification Using CNN

Abstract

Early and accurate analysis and identification of plant diseases are very helpful in reducing plant diseases and improving the quality and quantity of the food crop. Plant disease experts are not available in remote areas thus there is a requirement of automatic low cost, approachable and reliable solutions to identify the plant diseases without the lab inspection and expert’s opinion. Deep learning approaches like convolutional neural network (CNN) can be employed to identify the plant diseases. In this paper the CNN model is developed to classify potato leafs into three classes: healthy leaves, early blight and late blight diseased leaves. 1500 image dataset having 500 leaves belonging to each class is used in this paper. The CNN models automatically learn the features from the raw images and are able to classify the images with 94.4 % accuracy.

Key Words

Plant diseases, Convolutional neural network, Machine Learning

Cite This Article

"Potato Leaf Diseases Identification Using CNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.519-527, December 2018, Available :http://www.jetir.org/papers/JETIREC06060.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

"Potato Leaf Diseases Identification Using CNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp519-527, December 2018, Available at : http://www.jetir.org/papers/JETIREC06060.pdf

Publication Details

Published Paper ID: JETIREC06060
Registration ID: 233615
Published In: Volume 5 | Issue 12 | Year December-2018
DOI (Digital Object Identifier):
Page No: 519-527
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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