Open Call: DACIA5 Data challenge – Satellite data for smarter agriculture. Exploring the potential of the DACIA5 dataset for agricultural crop identification

We are pleased to announce an open data challenge aimed at students and early-career researchers with experience or interest in machine learning, data science, Earth observation, and agricultural applications, focused on the DACIA5 dataset.

The dataset is publicly available at Zenodo – https://zenodo.org/records/14283243 and was originally introduced in the publication: “DACIA5: a Sentinel-1 and Sentinel-2 dataset for agricultural crop identification applications” available here: https://www.tandfonline.com/doi/full/10.1080/20964471.2025.2512685

This challenge encourages innovative uses of the DACIA5 dataset, including the development of new models, integration through data aggregation or fusion with complementary sources, and the exploration of novel research directions beyond the scope of the original publication.

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