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  …………………………………………….....……..………. 1
2.    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 ………….… 127
8.    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 ………………………...…… 211
14.    A. Băicoianu – ResNet18-based Crop Identification ………………………………………...... 216
15.    A. Racovițeanu – MLP-based Crop Identification ……………………………………………..... 230
16.    A. Băicoianu et al. – DACIA5 Data Challenge for a Smarter Agriculture …………….. 238
17.    D. Faur – EO Data Applications in Agriculture ……………………………………………….…... 242
18.    D. Săcăleanu – In-field environmental parameters monitoring ……………………….... 252
Biographies ………………………………………………………………………………………………………........….. 256