Author name: S. Molina J. Mothe

DACIA5 – A Sentinel 2-based Multispectral Dataset for Agricultural Crop Identification Applications over Brasov area, Romania

The data set contains all the available images from Sentinel-1 SAR and Sentinel-2 MSI from 2020 to 2024 over a specific area to the north of Brasov city, Romania, together with the 32 x 32 pixel size radar and multi-spectral patches for a crop identification task using a learning model. For the crop identification task, […]

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Newsletter N°08 – Jan. 2025

Member highlight Professor Josiane Mothe – INSPÉ Toulouse Occitanie-Pyrénées, Institut de Recherche en Informatique de Toulouse, UMR5505 CNRS, Univ. de Toulouse, France  Josiane Mothe is a distinguished professor at the Institut National Supérieur du Professorat et de l’Éducation (INSPÉ) within the Université de Toulouse, France. She leads the Data Science department at the Institut de

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muDACIA5: Sentinel-2 Brasov area 2020-2024 multi-spectral dataset for crop monitoring and identification

As part of the AI4AGRI project, a new dataset is now available for researchers focusing on crop identification using remote sensing and machine learning techniques. The dataset consists of Sentinel-2 MSI images acquired between 2020 and 2024 over an area north of Brașov, Romania. It is designed to support two specific tasks: The dataset includes:

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Newsletter N°07 – Dec. 2024

The AI4AGRI newsletter relies on submissions from members of the project, please do not hesitate sharing AI4AGRI related news such as newly published papers, participation to conferences and events as well as information about related events and courses. Please send your submissions at the following address: serge.molina+ai4agri@irit.fr Member highlight: Alexandra BAICOIANU, Transylvania University of Brasov

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