Deep multi-task learning for stem water potential prediction : Actionable guidelines.
Comput. Electron. Agric., 2025
Harnessing the power of transformers and data fusion in smart irrigation.
Appl. Soft Comput., 2024
Self-Supervised Anomaly Detection of Rogue Soil Moisture Sensors.
CoRR, 2023
MultiMix TFT: A Multi-task Mixed-Frequency Framework with Temporal Fusion Transformers.
Proceedings of the Conference on Lifelong Learning Agents, 2023
A Workflow to Extract the Geometry and Type of Vegetated Landscape Elements from Airborne LiDAR Point Clouds.
Remote. Sens., 2021
Bridging rigorous assessment of water availability from field to catchment scale with a parsimonious agro-hydrological model.
Environ. Model. Softw., 2017
Extracting cross sections and water levels of vegetated ditches from LiDAR point clouds.
Int. J. Appl. Earth Obs. Geoinformation, 2016