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Published in:

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

Unique Identifier

JETIREC06060

Page Number

519-527

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Title

Potato Leaf Diseases Identification Using CNN

ISSN

2349-5162

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

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 | 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
ISSN Number: 2349-5162

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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




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