IJSDR
IJSDR
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
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: March 2024

Volume 9 | Issue 3

Impact factor: 8.15

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Paper Title: Leaf Disease Detection Using Transfer Learning
Authors Name: MRS. SWATI R. KHOKALE , ATHARVA BHALSING , DIPAK BAGUL , AKSHATA UGALE , NIKITA BORSE
Unique Id: IJSDR2205011
Published In: Volume 7 Issue 5, May-2022
Abstract: 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: 000336256
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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