Impact Factor
Call For Paper
Volume 12 Issue 07
July 2026
Author(s)
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
Paper ID
IJSARTV12I5105346
Publication Date
May 13, 2026
Research Area
ARTIFICIAL INTELLIGENCE - MACHINE LEARNING : DEEP LEARNING