S. Molina J. Mothe – AI4AGRI – Romanian Excellence Center on AI for Agriculture

Enhancing Domain-Specific Named Entity Recognition via Segmentation and Pseudo-Labeled Annotation

📅 July 2025
🧑 Corneliu Florea, Laura Florea, Mihai Ivanovici

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AI4AGRI HyDACI6 PRISMA-based data over Brasov area for agricultural crop identification

The HyDACI6 dataset was produced within the framework of the AI4AGRI European project GA 101079136. HyDACI stands for Hyperspectral Dataset for Agricultural Crop Identification. The AI4AGRI HyDACIA6 data set contains six hyperspectral images derived from the PRISMA mission data from year 2024 over a specific area to the north of Brașov city, Romania. The original

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

Datasets / S. Molina J. Mothe

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

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