Agro-Monitor

Agro-Monitor is a web application designed to assist farmers by providing accurate weather forecasts and crop yield predictions. By leveraging advanced machine learning models, Agro-Monitor helps optimize agricultural practices and improve productivity.

Features

• Weather Forecasts: Get real-time and accurate weather updates tailored for agricultural needs.
• Crop Yield Predictions: Predict crop yields based on weather data, soil conditions, and other relevant factors.
• User-Friendly Interface: Intuitive and easy-to-navigate interface built with Vue.js.

Technologies Used

• Frontend: Vue.js
• Backend: FastAPI
• Machine Learning: XGBoost for crop yield prediction models

Installation

1. Clone the repository:

   git clone https://github.com/Angelo-Eyama/Agro-monitor.git

2. Navigate to the project directory:

   cd Agro-Monitor

3. Install the required dependencies for the backend:

    cd backend
    python -m venv venv
    source venv/bin/activate  # On Windows use `venv\Scripts\activate
    pip install -r requirements.txt

4. Install the required dependencies for the frontend:

   cd frontend
   npm install

Usage

1. Start the backend server:

   uvicorn main:app --reload

2. Start the frontend development server:

   npm run dev

3. Open your browser and navigate to http://localhost:5173 to access the application.