Logo
  • Home
  • About Us
    • Aim and Scope
    • Research Area
    • Impact Factor
    • Indexing
  • For Authors
    • Authors Guidelines
    • How to publish paper?
    • Download Paper format
    • Submit Manuscript
    • Processing Charges
    • Download Copyrights Form
    • Submit Payment-Copyrights
  • Archives
    • Current Issues
    • Past Issues
    • Conference Issues
    • Special Issues
    • Advance Search
  • IJARIIE Board
    • Join as IJARIIE Board
    • Advisory Board
    • Editorial Board
    • Sr. Reviewer Board
    • Jr. Reviewer Board
  • Proposal
    • Conferece Proposal
    • Special Proposal
    • Faqs
  • Contact Us
  • Payment Detail

Call for Papers:Vol.11 Issue.3

Submission
Last date
28-Jun-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-3. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

  • How to Publish Paper
  • Submit Manuscript
  • Processing Charges
  • Submit Payment

Archives

  • Current Issue
  • Past Issue

IJARIIE Board

  • Member Of Board
  • Join As Board

Downloads

  • Authors Guidelines
  • Manuscript Template
  • Copyrights Form

Android App

Download IJARIIE APP
  • Authors
  • Abstract
  • Citations
  • Downloads
  • Similar-Paper

Authors

Title: :  A Hybrid Model For Severity Prediction Of Leaf Smut Rice Infection
PaperId: :  23097
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 2 2024
DUI:    16.0415/IJARIIE-23097
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Mathivanan MBannari amman institute of technology
gokul krishna ABannari amman institute of technology
Naveen VBannari amman institute of technology
Rajesh kanna PBannari amman institude of technology

Abstract

Computer Engineering,
Keywords: Leaf smut rice infection, Severity prediction, Hybrid model, Deep learning.
Plant diseases have a profound impact on agricultural productivity, necessitating advanced predictive models for timely intervention. This study presents a novel approach for the severity prediction of leaf smut rice infection, leveraging a hybrid model combining deep learning techniques. Utilizing time series data sourced from relevant agricultural databases, the proposed model integrates features extraction and fusion methods to enhance predictive accuracy. Specifically, CNN algorithm is employed for its efficacy in capturing temporal dependencies and patterns in the data. Through comparative analysis, our results demonstrate the superiority of the hybrid model in accurately predicting the severity of leaf smut rice infection. This research contributes to agricultural sustainability by offering a reliable tool for early disease detection and management.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Mathivanan M, gokul krishna A, Naveen V, and Rajesh kanna P. "A Hybrid Model For Severity Prediction Of Leaf Smut Rice Infection" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 2 2024 Page 2595-2600
MLA Mathivanan M, gokul krishna A, Naveen V, and Rajesh kanna P. "A Hybrid Model For Severity Prediction Of Leaf Smut Rice Infection." International Journal Of Advance Research And Innovative Ideas In Education 10.2(2024) : 2595-2600.
APA Mathivanan M, gokul krishna A, Naveen V, & Rajesh kanna P. (2024). A Hybrid Model For Severity Prediction Of Leaf Smut Rice Infection. International Journal Of Advance Research And Innovative Ideas In Education, 10(2), 2595-2600.
Chicago Mathivanan M, gokul krishna A, Naveen V, and Rajesh kanna P. "A Hybrid Model For Severity Prediction Of Leaf Smut Rice Infection." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 2 (2024) : 2595-2600.
Oxford Mathivanan M, gokul krishna A, Naveen V, and Rajesh kanna P. 'A Hybrid Model For Severity Prediction Of Leaf Smut Rice Infection', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, 2024, p. 2595-2600. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/A_Hybrid_Model_For_Severity_Prediction_Of_Leaf_Smut_Rice_Infection_ijariie23097.pdf (Accessed : ).
Harvard Mathivanan M, gokul krishna A, Naveen V, and Rajesh kanna P. (2024) 'A Hybrid Model For Severity Prediction Of Leaf Smut Rice Infection', International Journal Of Advance Research And Innovative Ideas In Education, 10(2), pp. 2595-2600IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/A_Hybrid_Model_For_Severity_Prediction_Of_Leaf_Smut_Rice_Infection_ijariie23097.pdf (Accessed : )
IEEE Mathivanan M, gokul krishna A, Naveen V, and Rajesh kanna P, "A Hybrid Model For Severity Prediction Of Leaf Smut Rice Infection," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, pp. 2595-2600, Mar-App 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/A_Hybrid_Model_For_Severity_Prediction_Of_Leaf_Smut_Rice_Infection_ijariie23097.pdf [Accessed : ].
Turabian Mathivanan M, gokul krishna A, Naveen V, and Rajesh kanna P. "A Hybrid Model For Severity Prediction Of Leaf Smut Rice Infection." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 2 ().
Vancouver Mathivanan M, gokul krishna A, Naveen V, and Rajesh kanna P. A Hybrid Model For Severity Prediction Of Leaf Smut Rice Infection. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(2) : 2595-2600. Available from: https://ijariie.com/AdminUploadPdf/A_Hybrid_Model_For_Severity_Prediction_Of_Leaf_Smut_Rice_Infection_ijariie23097.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
A Review of Automated Plant Disease Detection Using Camera-Based Systems for Scalable Farm AutomationComputer EngineeringMohammed Taha Ahmed Download
ENHANCE ETHANOL PURITY WITH TEA POWDER ADSORBTIVE DISTILLATION.Chemical EngineeringKatore Tejas Download
IOT Enabled Smart Helmet For Miners SafetyComputer EngineeringDhruv Verma Download
Deep Learning Based Web Application for Hand Sign RecognitionComputer Engineering Mrs.Sonali Salunkhe Download
WIREFRAME INTERPRETATION AND FRONTEND CODE GENERATIONComputer EngineeringK. Archana Download
NEXT-GENERATION FIREWALLS: ADVANCING NETWORK SECURITY TO COMBAT EVOLVING AND SOPHISTICATED CYBER THREATSSecurity Network EngineerVenkata Surya Teja Gollapalli Download
Swarm Intelligence-Driven Adaptive Scheduling with Fuzzy Logic-Based Real-Time Optimization for Smart HospitalsComputer ScienceVisrutatma Rao Vallu Download
Enhancing E-Commerce Transaction Security with Big Data Analytics in Cloud ComputingCloud ComputingRajani Priya Nippatla Download
AI-Assisted Fabrication of Functionalized Nanoparticles for Infectious Disease Treatmentmachine learningNandan Kumar Download
Deep Neural Networks for Enhancing Nanoparticle Drug Release Kineticsmachine learningPavan Gowda Download
Multiscale Modelling of Nano-Drug Interactions Using Artificial Intelligencemachine learningSandhya. S Download
AI-Powered Control Systems for Nanobots in Microbial Infection Zonesmachine learningPavan T.K Download
AI-Driven Discovery of Nanostructures That Disrupt Antibiotic-Resistant Biofilmsmachine learningManohar Jain Download
AI-Enhanced Biosensors for Real-Time Detection of Pathogens Using Nanomaterialsmachine learningFaisal Ahmed Download
Integrating Deep Learning with Nanotechnology for Virus Detectionmachine learningAkash Kumar Download
12
For Authors
  • Submit Paper
  • Processing Charges
  • Submit Payment
Archive
  • Current Issue
  • Past Issue
IJARIIE Board
  • Member Of Board
  • Join As Board
Privacy and Policy
Follow us

Contact Info
  • +91-8401209201 (India)
  • +86-15636082010 (China)
  • ijariiejournal@gmail.com
  • M-20/234 Ami Appt,
    Nr.Naranpura Tele-Exch,
    Naranpura,
    Ahemdabad-380063
    Gujarat,India.
Copyright © 2025. IJARIIE. All Rights Reserved.