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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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A deep neural network is very successful for image classification problems. In this project, we show how a neural network can be used for leaf disease detection in the context of image classification. We have used publicly available Plant leaves with our dataset which has different classes of diseases. Hence, the problem that we have addressed is a multi-class classification problem. We are using the Inception V3 architecture and Convolutional Neural Network (CNN) algorithm as a base with Transfer Learning for image processing. With the help of Transfer Learning, we reduce a large amount of time we required for data training and also it increases the accuracy of image recognition
Keywords:
Detection, Transfer Learning, CNN, Disease
Cite Article:
"Leaf Disease Detection Using Transfer Learning", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 5, page no.59 - 63, May-2022, Available :http://www.ijsdr.org/papers/IJSDR2205011.pdf
Downloads:
000223232
Publication Details:
Published Paper ID: IJSDR2205011
Registration ID:200342
Published In: Volume 7 Issue 5, May-2022
DOI (Digital Object Identifier):
Page No: 59 - 63
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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