Intro - Welcome to Crop Yield Prediction model, making predictions easy for you
The Crop yield prediction uses a series of inputs to analyze a crop's growwing factors such as soil ph, temperature, rainfall, Potassium, Nitrogen and Phosporus level. Based on the results, it recommends potential crop grown.
The following instructions were tested on the Windows and Linux with Python 3.8.
- Clone this repository
git clone https://github.com/Rogendo/Crop_Yield_Prediction.git
cd Crop_Yield_Prediction/
- Create and activate virtual environment
python -m venv venv
on Linux system
source venv/bin/activate
on Windows system
.\venv\Scripts\activate.bat
- Install requirements
pip install -r requirements.txt
- Run the project
streamlit run app.py
- Crop yield prediction
- Patricia Mae Quitoriano
This project is licensed under the MIT License