IRIT presentations on deep learning for Earth observation at the AI4AGRI Spring School in Romania

We are proud to announce that two members of our laboratory, Josiane Mothe and Nathalie Neptune (SIG Team in the Data Management Dept), gave a lecture on “Introduction to Deep Learning for Earth Observation” at the AI4AGRI 2024 Spring School, funded by the European Union and organised by Mihai Ivanovici, Professor at the Transilvania University of Brasov, Romania.

Their session, which took place on 8 May 2024, offered an in-depth look at the latest advances in deep learning technologies and their applications in Earth Observation (EO). They focused on an overview of machine learning and practical work using PyTorch for the classification of hyperspectral EO images, demonstrating the power of convolutional neural networks in the analysis of complex datasets.

Their talk was part of a week-long series of courses on the integration of AI and EO for agricultural applications. The programme brought together 60 learners and 11 teachers, international experts, young researchers and experienced researchers in a collaborative environment to share knowledge and explore innovative solutions.

The participants greatly appreciated the various presentations. The expertise of the two lab members not only enhanced the understanding of deep learning applications in EO, but also highlighted the cutting-edge research being conducted in our lab.

We congratulate J. Mothe and N. Neptune for their successful participation and thank them for representing our lab on the European stage as well as for their contributions to the state of the art of AI and EO in particular for agriculture.

For more information on the event and future initiatives, visit the AI4AGRI website.