Food Crop disease detection model using VGG16 architecture

Dataset for Potato Disease Classification

Deep Learning based Disease Detection

Welcome to Ka-Halaman! Version 1 serves as the foundational prototype, crafted to showcase structuring of agricultural data.

Crop disease detection website

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

🌾 An AI-powered Crop Disease Predictor Web App that uses advanced image recognition to identify crop diseases.

This repository as all the files of the HELPMATE webpage

METADATA-FARMER ASSISTANCE WEBAPP | AI & ML

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

Farmer assistant system VCET Hackathon 2k22

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

[Archive] Please see below URL

Detect the Disease in Crop and recommend pesticides for it.

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.

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.

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.

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 .