Simple Machine Learning that implement in this Website.
Crop Predict is a web application developed using Python Django Framework.
In Crop Predict you can predict the crop that suitable for nutrient that you entered or in your location.
This website is Theoretical Model so, don't use this website for Real-Time Farming Decision. This website shows how we can implement Machine learning into farming and how we can improve the agriculture using programming languages.
-> Python Django FrameWork | HTML | CSS | JavaScript | Bootstrap
-> SQLite
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Before the following steps make sure you have git installed on your system.
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Download and Install Python required version.
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Read about virtualenv in Python. Create a virtual environment for your project.
pip install virtualenv
virtualenv virtualenv_name
- Activate the environment in cmd.
virtualenv_name\scripts\activate
- Clone the GitHub project in your local directory with command
git clone https://github.com/vu3tpz/Crop-Predictor you can just download the code and unzip it.
git clone https://github.com/vu3tpz/Crop-Predict
- Run the command in console
pip install -r requirements.txtgo to that directory and run the above command. This command will install the necessary packages required to run the project.
pip install -r requirements.txt
- Go the the directory where
manage.pyfile is present. Run following commands in the cmd
python manage.py makemigrations
python manage.py migrate
python manage.py runserver
- See your project is running on your local host
http://127.0.0.1:8000
http://127.0.0.1:8000
