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.4

Submission
Last date
28-Aug-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-4. 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 SURVEY ON MACHINE LEARNING-BASED DETECTION OF POTATO PLANT DISEASE
PaperId: :  23172
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-23172
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Aditya Pal BMS Institute of Technology and Management Bangalore, Karnataka,India
Prof Chethana C BMS Institute of Technology and Management Bangalore, Karnataka,India
Innamuri sreelasya BMS Institute of Technology and Management Bangalore, Karnataka,India
Chandana G R BMS Institute of Technology and Management Bangalore, Karnataka,India
Aditya Gour BMS Institute of Technology and Management Bangalore, Karnataka,India

Abstract

Computer Engineering
Convolution Neural Network, Potato plant, machine learning, Disease detection
Agriculture is the backbone of our nation. A significant portion of the Indian economy, accounting for 17% of the nation's GDP, is employed in agriculture, where 58% of the population works. One of the most extensively consumed crops, potatoes are affected by a wide range of illnesses. There are obvious diseases present in the leaf area of this plant. Farmers now have less work to do since deep learning models have produced technologies that boost agricultural output rates and lower plant disease infestation. The diseases of potato plants, including Early Blight (EB) and Late Blight (LB), are covered in detail in this paper, with an emphasis on the many machine-learning models used to treat these problems. The results of this investigation confirm that Convolutional Neural Networks (CNN) are more accurate in identifying diseases than any other alternative methods for detection.

Citations

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

IJARIIE Aditya Pal, Prof Chethana C, Innamuri sreelasya, Chandana G R, and Aditya Gour. "A SURVEY ON MACHINE LEARNING-BASED DETECTION OF POTATO PLANT DISEASE" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 2 2024 Page 3209-3217
MLA Aditya Pal, Prof Chethana C, Innamuri sreelasya, Chandana G R, and Aditya Gour. "A SURVEY ON MACHINE LEARNING-BASED DETECTION OF POTATO PLANT DISEASE." International Journal Of Advance Research And Innovative Ideas In Education 10.2(2024) : 3209-3217.
APA Aditya Pal, Prof Chethana C, Innamuri sreelasya, Chandana G R, & Aditya Gour. (2024). A SURVEY ON MACHINE LEARNING-BASED DETECTION OF POTATO PLANT DISEASE. International Journal Of Advance Research And Innovative Ideas In Education, 10(2), 3209-3217.
Chicago Aditya Pal, Prof Chethana C, Innamuri sreelasya, Chandana G R, and Aditya Gour. "A SURVEY ON MACHINE LEARNING-BASED DETECTION OF POTATO PLANT DISEASE." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 2 (2024) : 3209-3217.
Oxford Aditya Pal, Prof Chethana C, Innamuri sreelasya, Chandana G R, and Aditya Gour. 'A SURVEY ON MACHINE LEARNING-BASED DETECTION OF POTATO PLANT DISEASE', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, 2024, p. 3209-3217. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/A_SURVEY_ON_MACHINE_LEARNING_BASED_DETECTION_OF_POTATO_PLANT_DISEASE_ijariie23172.pdf (Accessed : ).
Harvard Aditya Pal, Prof Chethana C, Innamuri sreelasya, Chandana G R, and Aditya Gour. (2024) 'A SURVEY ON MACHINE LEARNING-BASED DETECTION OF POTATO PLANT DISEASE', International Journal Of Advance Research And Innovative Ideas In Education, 10(2), pp. 3209-3217IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/A_SURVEY_ON_MACHINE_LEARNING_BASED_DETECTION_OF_POTATO_PLANT_DISEASE_ijariie23172.pdf (Accessed : )
IEEE Aditya Pal, Prof Chethana C, Innamuri sreelasya, Chandana G R, and Aditya Gour, "A SURVEY ON MACHINE LEARNING-BASED DETECTION OF POTATO PLANT DISEASE," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, pp. 3209-3217, Mar-App 2024. [Online]. Available: http://ijariie.com/AdminUploadPdf/A_SURVEY_ON_MACHINE_LEARNING_BASED_DETECTION_OF_POTATO_PLANT_DISEASE_ijariie23172.pdf [Accessed : ].
Turabian Aditya Pal, Prof Chethana C, Innamuri sreelasya, Chandana G R, and Aditya Gour. "A SURVEY ON MACHINE LEARNING-BASED DETECTION OF POTATO PLANT DISEASE." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 2 ().
Vancouver Aditya Pal, Prof Chethana C, Innamuri sreelasya, Chandana G R, and Aditya Gour. A SURVEY ON MACHINE LEARNING-BASED DETECTION OF POTATO PLANT DISEASE. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(2) : 3209-3217. Available from: http://ijariie.com/AdminUploadPdf/A_SURVEY_ON_MACHINE_LEARNING_BASED_DETECTION_OF_POTATO_PLANT_DISEASE_ijariie23172.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Skin Cancer Detection through Neural Network on Federated LearningComputer ScienceKavya Shree A S Download
Analyzing Member Engagement through Business Intelligence: A Metabase-Driven Dashboard for Registrations, Redemptions, and TransactionsData AnalyticsAnusha S Download
Detection of fake news using Machine Learning techniquesComputer ApplicationsJanani S R Download
MACHINE LEARNING-BASED STRESS DETECTION USING PHYSIOLOGICAL SIGNALS FROM WEARABLE SENSORSComputer Science and EngineeringAkash S K Download
Optimizing Resource Allocation and Task Offloading for Real-Time IoT ApplicationsComputer ApplicationsDhanush M Download
Examining Human-Computer Interaction in Social Media PlatformsComputer ApplicationsTanuja A Download
Interpretable Multimodal Machine Learning for Early Stroke Risk‬ ‭ Prediction in Atrial Fibrillation PatientsComputer Science and EngineeringAnand Hadapad Download
5G and IoT Integration for Smart CitiesComputer EngineeringYathish K J Download
Design and Development of Automated User Responsive Assistant (AURA) or Kinetically Responsive Intelligent Assistant (KRIA) RobotArtificial IntelligenceChandana S Download
Ethical Hacking: Proactive Security Against Cybercrimecomputer engineeringShahapuram Ritika Download
Cyber Security For Wearable Health Devicescomputer Engineering Jenitha H S Download
Artificial Intelligence in Integrated Circuit Design: Revolutionizing Productivity Amidst Practical ChallengesTechnologyKhanh Pham Duy Download
Real-Time Hand Gesture Recognition with Finger Counting (Using OpenCV and Mediapipe)Computer scienceBhumika Sahu Download
Diffie Hellman Key Exchange Algorithm with Man in the middle attack (MITM)Computer Science EngineeringMahesh Purushottam Gajbhiye Download
AN IMPROVED ATTRIBUTE BASED ACCESS CONTROL IN PERSONAL HEALTH RECORDS USING CLOUD WITH CONSTANT CIPHERTEXT LENGTHScience and TechBitrus Isahaka Dzarma 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.