Paper Key : IRJ************658
Author: Vijayalalitha R,Kalaiyarasi R,Nithyasri T,Joshini V
Date Published: 09 Apr 2025
Abstract
This project introduces a Web-based system that helps detect and identify plant diseases using machine learning. It uses a Convolutional Neural Network (CNN) model trained on the Plant Village dataset, which has over 60,000 images of healthy and diseased leaves. The system can quickly and accurately tell what disease a plant has by looking at its leaf. A web application is developed using Flask, where users can upload leaf images and get instant results. To make the system easier to use, a chatbot is added to guide users and give helpful suggestions. Voice recognition is also included, so users can speak instead of typing. This makes the system friendly even for farmers who may not be familiar with technology. The overall goal is to help farmers detect plant diseases early, protect their crops, and improve farming in a simple and cost-effective way.Keywords: Machine Learning, Plant Disease Detection, Convolutional Neural Network (CNN), PlantVillage Dataset, Image Classification, Flask, Chatbot Integration, Speech Recognition.
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