Plant Disease Classification and Diagnosis

Overview

This project is a plant disease classification and diagnosis system that uses a neural network to classify plant disease images. It utilizes the Plant Village dataset for training and offers two backend options: Django and FastAPI. Additionally, a Flutter app is provided for users to upload images of plant leaves and identify the disease.

Contents

• Overview
• Features
• Demo Video
• Installation
  • Backend Setup
    • FastAPI
    • Django
  • Flutter App
• Usage

Features

• Neural network for plant disease classification.
• Used Transfer Learning using kerras model EfficientNetB3.
• Model Accuracy: approx 97.8%
• Model Size: 71 MB
• Choice of Django and FastAPI backends for serving the classification model.
• A Flutter app for users to diagnose plant diseases with uploaded leaf images.
• Easy setup and deployment with clear instructions.

Demo Video

demo.mp4

Installation

Backend Setup

FastAPI

To set up the FastAPI backend, follow these steps:

1. Clone this repository:

   git clone https://github.com/KumarUtsav1025/PlantDisClfFullStackApp.git
   

2. Navigate to the FastAPI backend directory:

    cd FastApiBackend
   

3. Create a virtual environment (optional but recommended):

    python -m venv venv
    source venv/bin/activate  # On Windows, use: venv\Scripts\activate
   

4. Install the required dependencies:

   pip install -r requirements.txt
   

5. Run the FastAPI backend:

    uvicorn main:app --reload
   
   

Django

To set up the Django backend, follow these steps:

1. Clone this repository:

   git clone https://github.com/KumarUtsav1025/PlantDisClfFullStackApp.git
   

2. Navigate to the Django backend directory:

   cd PlantDiseaseClassificationApp
   cd DjangoBackend
   

3. Create a virtual environment (optional but recommended):

    python -m venv venv
    source venv/bin/activate  # On Windows, use: venv\Scripts\activate
   

4. Install the required dependencies:

   pip install -r requirements.txt
   

5. Apply migrations and start the Django server:

    python manage.py migrate
    python manage.py runserver
   

Flutter App

To set up the Flutter app, follow these steps:

1. Clone this repository:

   git clone https://github.com/KumarUtsav1025/PlantDisClfFullStackApp.git
   

2. Navigate to the Flutter app directory:

   cd FlutterApp
   cd plant_dis_clf_app
   

3. Get dependecies

   flutter pub get

4. Build and run the app on your preferred platform using Flutter commands:

   flutter run
   

Usage

Access the FastAPI backend at http://localhost:8000 or the Django backend at http://localhost:8000 (if you set up the Django backend). Use the Flutter app to upload plant leaf images for disease diagnosis.