WHICH CROP FOR THIS FIELD?
==========================

A sample AI project for CBSE Class X, Artificial Intelligence (Subject Code
417), Part C - Project Work. From LambdaLab - https://www.lambdalab.in

WHAT IS IN HERE
  crop_recommendation.py      the program, one section per stage of the AI Project Cycle
  crop_recommendation.ipynb   the same program as a Jupyter notebook
  soil_samples.csv            the data it reads
  chart1_rainfall.png         a chart the program draws
  chart2_rain_temperature.png a chart the program draws
  chart3_npk.png              a chart the program draws
  chart4_confusion_matrix.png a chart the program draws
  chart5_choosing_k.png       a chart the program draws

HOW TO RUN IT
  1. Install the libraries once:  pip install pandas numpy matplotlib
  2. Keep this folder together - the program looks for its data beside it.
  3. Either run:  python crop_recommendation.py
     or open crop_recommendation.ipynb in Jupyter Notebook and run the cells in order.
  The charts are saved into this folder as PNG files.

THE DATA
  The dataset is a LambdaLab SAMPLE, made by a program to behave like the real
  thing so that the project can be run before you have collected anything.
  It is not real data and must not be presented as though it were. Replace
  it with data you collected, and say in your report where it came from.

THE NO-CODE VERSION
  The curriculum also builds AI projects without code, in Orange Data Mining.
  The report shows how to build this same project there.

The full report, with every section CBSE marks, is on the project's page:
  https://www.lambdalab.in/learn/ai-10-projects/crop-recommendation
