Insect counting through deep learning-based density maps estimation. - Arantza Bereciartua-Perez 001; Laura Gómez; Artzai Picón; Ramón Navarra-Mestre; Christian Klukas; Till Eggers (Comput. Electron. Agric., 2022)

Deep learning-based segmentation of multiple species of weeds and corn crop using synthetic and real image datasets. - Artzai Picón; Miguel G. San-Emeterio; Arantza Bereciartua-Perez 001; Christian Klukas; Till Eggers; Ramón Navarra-Mestre (Comput. Electron. Agric., 2022)

Semi-Supervised Approach for Automatic Counting of Whiteflies With Small Annotated Dataset. - Laura Gómez-Zamanillo; Arantza Bereciartua 001; Andoni Elola; Artzai Picón; Aitor Alvarez-Gila; Itziar Egusquiza; Ramón Navarra-Mestre (IEEE Access, 2025)

When synthetic plants get sick: Disease graded image datasets by novel regression-conditional diffusion models. - Itziar Egusquiza; Leire Benito-Del-Valle; Artzai Picón; Arantza Bereciartua-Perez 001; Laura Gómez-Zamanillo; Andoni Elola; Elisabete Aramendi; Rocío Espejo; Till Eggers; Christian Klukas; Ramón Navarra-Mestre (Comput. Electron. Agric., 2025)

From Field to Drone: Domain Drift Tolerant Automated Multi-Species and Damage Plant Semantic Segmentation for Herbicide Trials. - Artzai Picón; Itziar Eguskiza; Daniel Mugica; Javier Romero; Carlos Javier Jimenez; Eric White; Gabriel Do-Lago-Junqueira; Christian Klukas; Ramón Navarra-Mestre (CoRR, 2025)