Support material for the AI4AGRI Summer School 2025 - EO Big Data for Agriculture, 14 – 19 July 2025, Brasov, Romania. Contents: 1. M. Werner – Big Data and Deep Learning …………………………………………….....……..………. 12. P. Soille – JRC’s Big Data Analytics Platform ………………………………………………......……… 10 3. E. Aptoula – Domain Adaptation & Domain Generalization for Remote Sensing … 28 4. M. Garouani – XAI: Fundamentals, Challenges and Opportunities for Agriculture .. 54 5. F. Del Frate – Advanced Remote Sensing Techniques for Agriculture …………….….. 112 6. I. Petracca – Meteo Variables Estimation from EO Data using ML …………………....… 118 7. A. Di Noia – Interaction Mechanisms between EM Radiation and Crops ………….… 1278. E. Borgogno Mondino – Spectral Indices (Time Series) ………………………….………….... 134 9. Y. Yan – SAR Image Data Processing and Analysis ………………………………….………...… 142 10. N. Richard – Metrological Feature Spaces ……………………………………………..………….. 149 11. L. Chaari – Image Denoising, from Inverse Problems to DL ……………………..………....167 12. I. Plajer – Multi- and Hyper-Spectral Image Visualization using AI …………...………..177 13. A. Băicoianu, M. Debu – DACIA5 Data Set and Applications ………………………...…… 21114. A. Băicoianu – ResNet18-based Crop Identification ………………………………………...... 21615. A. Racovițeanu – MLP-based Crop Identification ……………………………………………..... 23016. A. Băicoianu et al. – DACIA5 Data Challenge for a Smarter Agriculture …………….. 23817. D. Faur – EO Data Applications in Agriculture ……………………………………………….…... 24218. D. Săcăleanu – In-field environmental parameters monitoring ……………………….... 252Biographies ………………………………………………………………………………………………………........….. 256