IJNRD Research Journal

WhatsApp
Click Here

WhatsApp editor@ijnrd.org
IJNRD
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (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)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.76

Issue per Year : 12

Volume Published : 9

Issue Published : 96

Article Submitted :

Article Published :

Total Authors :

Total Reviewer :

Total Countries :

Indexing Partner

Join RMS/Earn 300

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: DISEASE DETECTION AND ANALYSIS OF VARIOUS LEAVES USING IMAGE PREPROCESSING TECHNIQUES
Authors Name: Annepu Subhash , Appanna Sunil , Gogada Prem kumar , Kona Vineela , Doddi Deepak
Download E-Certificate: Download
Author Reg. ID:
IJNRD_218008
Published Paper Id: IJNRD2404629
Published In: Volume 9 Issue 4, April-2024
DOI:
Abstract: Agriculture plays a vital role in Indian economy, but owing to changing climatic conditions, crops often get affected a result agricultural yield is decreases drastically. If the condition gets worse, crops may become vulnerable to infections caused by agents. The method that can be adopted to prevent plant loss is real-time identification of plant diseases. Our proposed model provides an automatic method to determine leaf disease in a plant using a trained data set of pomegranate leaf images. The test set is used to check whether an image entered into the system contains disease or not. If not, it is considered to be healthy; otherwise, the disease of that leaf is predicted, and the prevention of plant disease is automatically proposed. Further, the rodent causing the disease is also identified with image analysis performed as certified by biologists and scientists. the accuracy of disease detection of leaf using image processing techniques can vary depending on the complexity of the disease, the data set used for training, and the environmental conditions
Keywords: Digital image processing, Foreground detection, Machine learning, Plant disease detection.
Cite Article: "DISEASE DETECTION AND ANALYSIS OF VARIOUS LEAVES USING IMAGE PREPROCESSING TECHNIQUES", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.g268-g272, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404629.pdf
Downloads: 00022
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID:IJNRD2404629
Registration ID: 218008
Published In: Volume 9 Issue 4, April-2024
DOI (Digital Object Identifier):
Page No: g268-g272
Country: Viskhapatnam, Andhara Pradesh, India
Research Area: Computer Science & Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2404629
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2404629
Share Article:
Share

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijnrd.org
Semantic Scholar Microsaoft Academic ORCID Zenodo
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX PUBLON
DRJI SSRN Scribd DocStoc

ISSN Details

ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI
How to Get DOI? DOI

Conference

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

Important Details

Social Media

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Join RMS/Earn 300

IJNRD