About the challenge

The ML4Earth Hackathon seeks solutions to the pressing agricultural challenges of our time so that we can feed a growing global population under the influence of the climate crisis.
The challenge is to predict crop yields using machine learning and remote sensing. An already prepared dataset of crop yields, satellite imagery (MODIS), weather data, and climate indices for the United States will be made available. One goal is to study the dataset and develop new methods and models for crop prediction. Since most machine and deep learning models are black boxes and cannot be interpreted by humans, another goal is to open these black boxes and explore the learned model dependencies between climate and crop forecasting with explainable AI.

In addition, a workshop on explainable AI will be held on 22.11.22, to which all Hackathon participants are invited. In addition to presentations, discussions, and a hands-on tutorial on explainable AI, the dataset will also be presented. The event will be recorded and we will make the recording available to you as well.

IMPORTANT: The hackathon takes place online only.

Get started

The dataset and notebook will be made available soon.



What to Build

You are free to create and explore use cases with the dataset. The use cases we offer are:

  • Creating a new benchmark model with superior performance.
  • Exploring data/model relationships with explainable AI.

What to Submit

  • final pitch presentation video
  • code or link to the repository

Hackathon Sponsors


14,500 in prizes

1st: 1500€ + Beyond Fellowship

1500€ in cash


A Beyond Fellowship Scholarship at the Future Lab at the Technical University of Munich for a period of 3 to 6 months and collaborate with us on all possible innovative AI4EO topics. Beyond Fellows will be reimbursed their travel costs from their home organization to Munich, Germany, up to 1,000 Euros and they will receive a monthly stipend of 1,750 Euros.
(The Beyond Fellowship can not be granted to members of the Technical University of Munich)

2nd: 1000€

1000€ in cash, with the option to apply for a Beyond Fellowship (see first prize).

3rd: 500€

500€ in cash, with the option to apply for a Beyond Fellowship (see first prize).

Devpost Achievements

Submitting to this hackathon could earn you:


Xiaoxiang Zhu

Xiaoxiang Zhu
Prof. Dr. / TUM

Yuanyuan Wang

Yuanyuan Wang
Prof. Dr. / TUM

Lichao Mou

Lichao Mou
Prof. Dr. / TUM

Richard Bamler

Richard Bamler
Prof. Dr. / TUM

Judging Criteria

  • Idea
    Is it a unique approach?
  • Result
    Did the team archive their goal?
  • Final-Pitch Performance
    How good was the presentation? Could the idea and result be comprehensible presented?

Questions? Email the hackathon manager

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Hackathon sponsors

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