worldcereal-yield

Repository for WorldCereal yield prediction work.

Contents

• Jupyter notebook: Ukraine/ARYA_Ukraine.ipynb
• Conda environment: environment.yml

Install

1. Install Miniconda or Anaconda.
2. Create the environment:

   conda env create -f environment.yml

3. Activate it:

   conda activate arya_openeo

4. Launch Jupyter:

   jupyter notebook

Notebook Overview The notebook Ukraine/ARYA_Ukraine.ipynb contains the workflow for preparing and uploading yield-related data. At a high level it:

• Loads and inspects the input data.
• Performs preprocessing and feature preparation.
• Runs the upload/export steps needed to publish the resulting artifacts.

Open the notebook in Jupyter, run the cells top-to-bottom, and adjust paths or parameters as needed for your environment.

Required Credentials The upload steps require credentials for the target platform/service. Set them before launching Jupyter, for example:

export OPENEO_URL="https://<your-openeo-endpoint>"
export OPENEO_USER="<your-username>"
export OPENEO_PASSWORD="<your-password>"

If your deployment uses a token instead, export it and follow the notebook instructions:

export OPENEO_TOKEN="<your-token>"