Simple-DSS-Crop-Recommendation

This is a simple web app that creates recommendations for what crop should be planted. The decision making process is based of a trained model created using the J48 decision tree algorithm. The program determines the appropriate crop from these factors:

• N - ratio of Nitrogen content in soil
• P - ratio of Phosphorous content in soil
• K - ratio of Potassium content in soil
• temperature - temperature in degree Celsius
• humidity - relative humidity in %
• ph - ph value of the soil
• rainfall - rainfall in mm

Dataset: https://www.kaggle.com/datasets/atharvaingle/crop-recommendation-dataset

This is a university project, feel free to use and contribute.

Requirements for compilation:

• Flask python library
  
• Re python library
  

Usage:

After running the script enter in your browser the address 127.0.0.1:5000. There you can can insert your values and get the reccomended crop.