Plant disease detection and Solution using Image Classification

An automated plant disease detection, Progressive Web App that will help the farmers to detect the disease in their crops and will also give insights on its treatment .

Auto Chloro is a plant disease classifier & remedies provider that uses deep learning. It can predict diseases and provide remedies. The GUI is based on Bangla Language keeping in mind that, our primary target is to create an application to predict plant diseases and provide remedies for the Bangladeshi people.

This project uses CNN to identify diseases in plants using image of their images of leaves

Agri-Pal is the simplest solution to aid a farmer in Agriculture - Crop and Poultry Farming. Agri-Pal is a simple Plug n Play device ensuring Disease Detection and Animal Breach Detection.

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A comprehensive agricultural intelligence ecosystem combining advanced machine learning, computer vision, mobile applications, and web technologies to revolutionize farming practices.

A web app that uses machine learning to recommend crops, detect plant diseases, and provide real-time weather and market insights for farmers.

Farmer assistant system VCET Hackathon 2k22

Flutter app which helps farmers take the right decisions with their crop regarding diseases. Our team's idea for GDSC solution challenge 2024

A tool to scan crops and predict healthy crops, crop rust, or powdery mildews.

🌱 An all-in-one intelligent system for farmers to get crop recommendations based on soil and weather data, and detect crop diseases from leaf images using machine learning. 🚜🌾

This repository contains code and resources for an end-to-end system designed to automate the detection and severity estimation of diseases in tomato plants.

AI-powered farming platform with crop prediction, disease diagnosis, weather insights, marketplace, and community features.

API endpoints for ML models

Detect the Disease in Crop and recommend pesticides for it.

METADATA-FARMER ASSISTANCE WEBAPP | AI & ML

This project leverages deep learning to identify crop diseases from images. Built with TensorFlow, the app allows users to upload crop images and predicts the disease. It features a user-friendly interface, feedback submission, and an informative "About" section. Perfect for early disease detection in crops.

🌱 AgriGuard : AI Smart Crop Disease Detection System A deep learning-powered web app that identifies 38+ plant diseases from leaf images with 95% accuracy. Built using TensorFlow and Streamlit, this project aims to empower farmers with instant, AI-driven diagnostics to combat global crop losses.

A Keras Sequential Model which predicts crop diseases of 18 crops across 55 diseases; deployed on a flask based web app.