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AI4FoodSecurity Challenge: Identify crops within season and in the next season, using Planet, Sentinel-1, and Sentinel-2 satellite imagery.

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AI4FoodSecurity

AI4FoodSecurity Challenge

https://platform.ai4eo.eu/ai4food-security-south-africa/data

Starter material on GitHub:

https://github.com/AI4EO/tum-planet-radearth-ai4food-challenge/blob/main/notebook/starter-pack.ipynb

Data on mistral:

/work/ka1176/shared_data/2021-ai4food/raw_data

Follow the Docker instructions to pull or update the image.

Follow the Jupyterhub instructions to get started with a notebook.

Model based on

https://github.com/VSainteuf/lightweight-temporal-attention-pytorch https://github.com/VSainteuf/pytorch-psetae

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AI4FoodSecurity Challenge: Identify crops within season and in the next season, using Planet, Sentinel-1, and Sentinel-2 satellite imagery.

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  • Jupyter Notebook 98.7%
  • Python 1.3%