IJRTI
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (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 : 8.14

Issue per Year : 12

Volume Published : 10

Issue Published : 112

Article Submitted : 17348

Article Published : 7552

Total Authors : 20065

Total Reviewer : 733

Total Countries : 133

Indexing Partner

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: IDENTIFICATION OF PLANTS AND THEIR DISEASES USING MACHINE LEARNING
Authors Name: Prakash Nakirekanti , D Sai Kumar
Download E-Certificate: Download
Author Reg. ID:
IJRTI_190213
Published Paper Id: IJRTI2408012
Published In: Volume 9 Issue 8, August-2024
DOI:
Abstract: Agriculture plays an important role in the Indian economy and it contributes about 17% of the total GDP. India is among the top three countries in terms of the production of different agricultural products such as rice, wheat, cotton, different vegetables, etc. Plants also suffer from different diseases. Timely and automated identification of diseases is necessary to protect the crops from damage. Machine Learning-based approach particularly deep learning-based techniques will help in automatic identification. This thesis presents the automated identification of plants and the diseases in plants. To identify the plant’s species, we have used the leaf of the plant as the leaves stay with the plant throughout the year whereas flowers and fruits are seasonal. In the identification of plant diseases also we have considered the plant leaves as at first, the disease symptoms appear on plant leaves. A brief description of plants and the diseases in plants are presented in the following subsections.
Keywords: Plant disease Machine Learning
Cite Article: "IDENTIFICATION OF PLANTS AND THEIR DISEASES USING MACHINE LEARNING", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 8, page no.80 - 82, August-2024, Available :http://www.ijrti.org/papers/IJRTI2408012.pdf
Downloads: 000205052
ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 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: IJRTI2408012
Registration ID:190213
Published In: Volume 9 Issue 8, August-2024
DOI (Digital Object Identifier):
Page No: 80 - 82
Country: Rangareddy, Telangana, India
Research Area: Computer Engineering 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2408012
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2408012
Share Article:

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijrti.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

ISSN Details

ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI.ONE
How to Get 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

Join RMS/Earn 300

IJRTI

WhatsApp
Click Here

Indexing Partner