RFI Artefacts Detection in Sentinel-1 Level-1 SLC Data Based On Image Processing Techniques. - Agnieszka Chojka; Piotr Artiemjew; Jacek Rapinski (Sensors, 2020)

Deep Learning for RFI Artifact Recognition in Sentinel-1 Data. - Piotr Artiemjew; Agnieszka Chojka; Jacek Rapinski (Remote. Sens., 2021)

Versatile method for grapevine row detection in challenging vineyard terrains using aerial imagery. - Luís Pádua; Agnieszka Chojka; Raul Morais; Emanuel Peres; Joaquim João Sousa (Comput. Electron. Agric., 2024)

Democratizing IoT for Smart Irrigation: A Cost-Effective DIY Solution Proposal Evaluated in an Actinidia Orchard. - David Pascoal; Telmo Adão; Agnieszka Chojka; Nuno Silva 002; Sandra Rodrigues; Emanuel Peres; Raul Morais (Algorithms, 2025)

Synthetic Data-Driven Methods to Accelerate the Deployment of Deep Learning Models: A Case Study on Pest and Disease Detection in Precision Viticulture. - Telmo Adão; Agnieszka Chojka; David Pascoal; Nuno Silva 002; Raul Morais; Emanuel Peres (Comput., 2025)