Crop Classification Tutorial

This repository helps you gained a basic understanding of building ML model for classifying crop type from Sentinel-2 satellite images. The tutorial is in the crop_classification_using_deep_learning notebook.

Running the notebook

If you want to execute code inside the notebook, there are a few steps that need to be done first.

1. Install Dependencies : All dependencies are listed in the requirements.txt file. To install use the following command:

   pip install -r requirements.txt

2. Unzip data

   1. Image data : Decompress all zip files inside data/image folder. The unzipped folder names will be similar to those in the notebook.
   2. Vector data : Decompress all zip files inside data/shape folder. The unzipped folder names will be similar to those in the notebook.