Extracting cross sections and water levels of vegetated ditches from LiDAR point clouds. - Jennifer Roelens; Stefaan Dondeyne; Jos Van Orshoven; Jan Diels (Int. J. Appl. Earth Obs. Geoinformation, 2016)

Bridging rigorous assessment of water availability from field to catchment scale with a parsimonious agro-hydrological model. - Hanne Van Gaelen; Eline Vanuytrecht; Patrick Willems; Jan Diels; Dirk Raes (Environ. Model. Softw., 2017)

A Workflow to Extract the Geometry and Type of Vegetated Landscape Elements from Airborne LiDAR Point Clouds. - Ine Rosier; Jan Diels; Ben Somers; Jos Van Orshoven (Remote. Sens., 2021)

MultiMix TFT: A Multi-task Mixed-Frequency Framework with Temporal Fusion Transformers. - Boje Deforce; Bart Baesens; Jan Diels; Estefanía Serral Asensio (CoLLAs, 2023)

Self-Supervised Anomaly Detection of Rogue Soil Moisture Sensors. - Boje Deforce; Bart Baesens; Jan Diels; Estefanía Serral Asensio (CoRR, 2023)

Harnessing the power of transformers and data fusion in smart irrigation. - Boje Deforce; Bart Baesens; Jan Diels; Estefanía Serral Asensio (Appl. Soft Comput., 2024)

Deep multi-task learning for stem water potential prediction : Actionable guidelines. - Boje Deforce; Bart Baesens; Jan Diels; Pieter Janssens; Luis Bonet Pérez de León; Estefanía Serral Asensio (Comput. Electron. Agric., 2025)