Protected: Newsletter N°16: AI4AGRI project conclusion
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Protected: Newsletter N°16: AI4AGRI project conclusion Read More »
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Protected: Newsletter N°15 – AI4AGRI 2025 Summer School report Read More »
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
AI4AGRI HyDACI6 PRISMA-based data over Brasov area for agricultural crop identification Read More »
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
📅 July 2025
🧑 Corneliu Florea, Laura Florea, Mihai Ivanovici
Adaptive Select Loss Strategy for Semantic Segmentation of Agricultural Crop Images Read More »
📅 Thursday 3 July 2025
Event report: O3T Annual Seminar 2025 Read More »
📅 Thursday 3 July 2025
O3T Key Challenge annual seminar 2025 Read More »
Member highlight: Max Chevalier – IRIT / IUT Toulouse-Auch-Castres (France) Max Chevalier is a Computer Science professor at the IUT Toulouse-Auch-Castres and a senior member of SIG research team at Toulouse Computer science Research Institute (IRIT). Since 2025, he is head of the Computer Science Department at IUT Toulouse-Auch-Castres. His research interests span data management,
Newsletter N°14 – July 2025 Read More »