A plant disease classification system using convolutional neural networks (CNNs) to identify healthy and diseased plant leaves from images, with interactive visualization through Gradio for real-time predictions and feature map analysis.
Deploying a Cotton Plant Disease Classification Flask application Using DenseNet121
Plant-Pal leverages advanced image preprocessing techniques. The system automatically adjusts image resolution, lighting conditions, and focus and focus to enhance compatibility with the Gemini Vision Pro API.This preprocessing ensures reliable Plant disease detection and Sends crop recommendation with geo tagged insights .
Apple Diseases Classificaiton with Google Teachable Machine
This is a project i made for my MINOR in college , which is based on Machine Learning and focuses on Image Processing .Feel free to make changes .
This repository contains code and resources for classifying eggplant diseases using Convolutional Neural Networks (CNN). The project aims to provide a solution for identifying diseases in eggplants through image classification techniques, facilitating early detection and intervention to prevent crop losses.
Apple and corn disease classification using deep learning model. Also GUI is also created using tkinter python library.
Folder ini berisi model CNN dan KNN dalam menganalisa penyakit tanaman cabai
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