Towards assessing agricultural land suitability with causal machine learning. - Georgios Giannarakis; Vasileios Sitokonstantinou; Roxanne Suzette Lorilla; Charalampos Kontoes (CVPR Workshops, 2022)

Personalizing Sustainable Agriculture with Causal Machine Learning. - Georgios Giannarakis; Vasileios Sitokonstantinou; Roxanne Suzette Lorilla; Charalampos Kontoes (CoRR, 2022)

Evaluating Digital Tools for Sustainable Agriculture using Causal Inference. - Ilias Tsoumas; Georgios Giannarakis; Vasileios Sitokonstantinou; Alkiviadis Koukos; Dimitra Loka; Nikolaos S. Bartsotas; Charalampos Kontoes; Ioannis Athanasiadis (CoRR, 2022)

Evaluating Digital Agriculture Recommendations with Causal Inference. - Ilias Tsoumas; Georgios Giannarakis; Vasileios Sitokonstantinou; Alkiviadis Koukos; Dimitra Loka; Nikolaos S. Bartsotas; Charalampos Kontoes; Ioannis Athanasiadis (AAAI, 2023)

Understanding the impacts of crop diversification in the context of climate change: a machine learning approach. - Georgios Giannarakis; Ilias Tsoumas; Stelios Neophytides; Christiana Papoutsa; Charalampos Kontoes; Diofantos G. Hadjimitsis (CoRR, 2023)

Causality and Explainability for Trustworthy Integrated Pest Management. - Ilias Tsoumas; Vasileios Sitokonstantinou; Georgios Giannarakis; Evagelia Lampiri; Christos Athanassiou; Gustau Camps-Valls; Charalampos Kontoes; Ioannis Athanasiadis (CoRR, 2023)

Exploring the Links between Bacterial Diversity with Vegetation and Soil Parameters Using Soil Metabarcoding Data and Sentinel-2 Indices. - Dimitrios Bormpoudakis; Georgios Giannarakis; Pablo Sánchez-Cueto; Soraya González Sánchez; Salvador Lladó; Martin Hartmann; Charalampos Kontoes (IGARSS, 2024)