Abstract :

Plant Diseases Significantly Impact Agricultural Productivity, Leading To Reduced Crop Yield And Quality, Which Poses Challenges For Farmers In Timely Detection And Management. To Address This Issue, This Paper Presents A Smart Android-based Application That Utilizes Image Processing And Machine Learning Techniques For Early And Accurate Plant Disease Diagnosis. The Proposed System Allows Users To Capture Or Upload Images Of Infected Plant Leaves, Which Are Then Processed Through Multiple Stages Including Image Preprocessing, Feature Extraction, And Classification Using Trained Machine Learning Models. The System Identifies The Type Of Disease And Provides Results In A User-friendly Format Through The Mobile Application. This Approach Enables Rapid, Cost-effective, And Reliable Disease Detection, Minimizing The Excessive Use Of Pesticides And Improving Crop Management Practices. The Proposed Solution Aims To Empower Farmers With Accessible Technology, Thereby Enhancing Agricultural Efficiency And Sustainability

Published:

13-4-1-2026

Issue:

Vol. 26 No. 4-1 (2026)

Page Nos:

382-386

Section:

Articles

License:

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

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