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Volume 12, Issue 5 (May 2026)

Plant Leaf Disease Detection Using Deep Learning

Impact Factor
7.883
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Volume 12 Issue 07

July 2026

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Author(s)

Dr .P. Shanmuga Priya Cladias Wilfred L Krishnan J Suhail H

Abstract

The Web-Based Plant Disease Detection And Fertilizer Recommendation System Presents A Web-based System For Detecting Plant Leaf Diseases. Users Can Upload Leaf Images Through A Simple Interface For Analysis.An Image Enhancement Module Improves Low-quality Images Before Processing. The Enhanced Images Are Analyzed Using A Deep Learning Model For Accurate Disease Detection. The Model Is Optimized Using Quantization Techniques To Improve Speed And Reduce Computational Complexity. The System Displays The Detected Disease Along With Prediction Confidence And Suitable Fertilizer Recommendations.A Chatbot Module Is Integrated Into The System To Answer User Queries Related To Plant Diseases, Fertilizers, And Crop Care. Overall, The System Supports Early Disease Detection, Improves Agricultural Productivity, And Assists Farmers In Maintaining Healthy Crops.


Keywords

Deep Learning Plant Disease Detection Quantization Fertilizer Recommendation Chatbot Smart Agriculture

Paper ID

IJSARTV12I5105346

Publication Date

May 13, 2026

Research Area

ARTIFICIAL INTELLIGENCE - MACHINE LEARNING : DEEP LEARNING

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