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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM53504

Leaf Guard : AI Based Plant Disease Detection System

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM53504

Volume:

9 |

11 |

Nov 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM53504

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

GRM

Gauri Rajesh Mukkawar

PSNS

Prof. S. N. Shelke

AAB

Aastha Anilkumar Bisen

RAD

Rohit Anil Dixit

YAM

Yash Arun Manjule

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Abstract

Domain: Artificial Intelligence Subdomain: Computer Vision Problem Statement: Plant diseases significantly reduce crop yield and quality. Traditional disease detection methods rely on manual observation, which is often slow, inaccurate, and not easily accessible to all farmers. There is a need for an automated system that can quickly and accurately detect plant diseases using technology. Solution: The Plant AI-Based Disease Detection System is a desktop web application that uses deep learning to identify plant leaf diseases. Users upload a leaf image, which is analyzed by a trained CNN model to detect the disease. The system then displays the disease name along with precautionary measures, helping users take timely action and improve crop productivity.

KEYWORDS

Plant Disease Detection Artificial Intelligence Computer Vision Deep Learning Convolutional Neural Network (CNN) Image Classification Agriculture Technology Machine Learning

Cite This Article

Gauri Rajesh Mukkawar, Prof. S. N. Shelke, Aastha Anilkumar Bisen, Rohit Anil Dixit, Yash Arun Manjule, "Leaf Guard : AI Based Plant Disease Detection System," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 11, Nov 2025. https://doi.org/10.55041/IJSREM53504

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Publication Date

6/10/2025

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Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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