AI4AGRI Summer School 2025: EO Big Data for Agriculture; Call for participation – extended
đź“… Mon. 14 – Sat. 19 July 2025
🧑 Mihai Ivanovici (UTBV); Josiane Mothe (UT); Andreea Nițu (UTBV); Matei Debu (UTBV)
đź“… Mon. 17 – Fri. 21 March 2025
📍UT – Toulouse (France)
Brașov AI4AGRI members visit Toulouse University Read More »
Member highlight: Luciana Majercsik – UNITBV, BraČ™ov (Romania) Luciana Majercsik is a lecturer at Transilvania University of BraČ™ov, within the Faculty of Mathematics and Informatics, Department of Mathematics and Informatics. She graduated with a bachelor’s degree in mathematics and informatics from the University of Bucharest and obtained her PhD in Informatics in September 2024 from
Newsletter N°10 – March 2025 Read More »
As part of the AI4AGRI project, a new dataset is now available that combines Sentinel-1 SAR and Sentinel-2 multispectral imagery to support research in crop identification using machine learning and remote sensing. Covering the years 2020 to 2024 over an agricultural area north of Brașov, Romania, this dataset is structured to address two key tasks:
đź“… Every Month until February
Water Challenges in Occitania – Webinar Series Read More »
Member highlight: Davide De Santis – Tor Vergata University, Roma (Italy) Davide De Santis received the Ph.D. in Computer Science, Control and Geoinformation and the M.Sc. degree in Environmental Engineering (cum laude) from Tor Vergata University of Rome (TVU) in 2022 and 2017, respectively. He is currently a researcher at TVU affiliated to the Civil
Newsletter N°09 – Feb. 2025 Read More »
đź“… January 2025
đź§‘ Mohammad El Sakka | Mihai Ivanovici | Loft Chaari | Josiane Mothe
A Review of CNN Applications in Smart Agriculture Using Multimodal Data Read More »
Member highlight Professor Josiane Mothe – INSPÉ Toulouse Occitanie-PyrĂ©nĂ©es, Institut de Recherche en Informatique de Toulouse, UMR5505 CNRS, Univ. de Toulouse, France Josiane Mothe is a distinguished professor at the Institut National SupĂ©rieur du Professorat et de l’Éducation (INSPÉ) within the UniversitĂ© de Toulouse, France. She leads the Data Science department at the Institut de
Newsletter N°08 – Jan. 2025 Read More »
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: