Welcome to IJSDR UGC CARE norms ugc approved journal norms IJRTI Research Journal | ISSN : 2455-2631
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
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.15 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Issue: November 2022

Volume 7 | Issue 11

Impact factor: 8.15

Click Here For more Info

Imp Links for Author
Imp Links for Reviewer
Research Area
Subscribe IJSDR
Visitor Counter

Copyright Infringement Claims
Indexing Partner
Published Paper Details
Paper Title: Fruit Disease Detection and Classification Using Image Processing
Authors Name: Nadendla Sucharitha , Maddikara Likitha , Malladi Karthik
Unique Id: IJSDR2211062
Published In: Volume 7 Issue 11, November-2022
Abstract: Diseases in fruit cause devastating problem in economic losses and production in agricultural industry worldwide. In this project, a solution for the detection and classification of fruit diseases is proposed and experimentally validated. The image processing based proposed approach is composed of the following steps; First step K-Means clustering technique is used for the image segmentation. Second step some features are extracted from the segmented image. Finally, images are classified into one of the classes by using a Support Vector Machine. The proposed solution can significantly support accurate detection and automatic classification of fruit diseases. This technique is used to determine the infection on fruits of the plants. The datasets consist of data related to fruit conditions and the symptoms of disease to be affected. The fruit details and the identification of disease from the feature extraction are stored in the datasets. An application is developed for processing the data and providing intimation to the farmers. Thus, the variation in image from the datasets and also indicates the disease in the fruits. The main objective of this project is to provide a method to prevent fruit diseases and maximize profit of a farmer.
Keywords:
Cite Article: "Fruit Disease Detection and Classification Using Image Processing", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 11, page no.387 - 392, November-2022, Available :http://www.ijsdr.org/papers/IJSDR2211062.pdf
Downloads: 000150694
Publication Details: Published Paper ID: IJSDR2211062
Registration ID:202531
Published In: Volume 7 Issue 11, November-2022
DOI (Digital Object Identifier):
Page No: 387 - 392
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

Click Here to Download This Article

Article Preview

Click here for Article Preview







Major Indexing from www.ijsdr.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

Track Paper
Important Links
Conference Proposal
ISSN
DOI (A digital object identifier)


Providing A digital object identifier by DOI
How to GET DOI and Hard Copy Related
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Creative Commons License
This material is Open Knowledge
This material is Open Data
This material is Open Content
Social Media
IJSDR

Indexing Partner