no code implementations • 16 Feb 2024 • Francesco Galimberti, Stephanie Bopp, Alessandro Carletti, Rui Catarino, Martin Claverie, Pietro Florio, Alessio Ippolito, Arwyn Jones, Flavio Marchetto, Michael Olvedy, Alberto Pistocchi, Astrid Verhegghen, Marijn van der Velde, Diana Vieira, Raphael d'Andrimont
Combining the risk map with population distribution data, we have developed an indicator that allows to monitor patterns in non-dietary exposure to pesticides.
1 code implementation • 8 May 2023 • Momchil Yordanov, Raphael d'Andrimont, Laura Martinez-Sanchez, Guido Lemoine, Dominique Fasbender, Marijn van der Velde
The aim of this paper is to select and publish a subset of LUCAS Cover photos for 12 mature major crops across the EU, to deploy, benchmark, and identify the best configuration of Mobile-net for the classification task, to showcase the possibility of using entropy-based metrics for post-processing of results, and finally to show the applications and limitations of the model in a practical and policy relevant context.
no code implementations • 14 Jan 2022 • Laura Martinez-Sanchez, Daniele Borio, Raphaël d'Andrimont, Marijn van der Velde
A methodology based on the variations of the skyline has been developed and used to investigate potential relationships with the distance to skyline objects.
no code implementations • 16 Dec 2021 • Raphaël d'Andrimont, Momchil Yordanov, Laura Martinez-Sanchez, Marijn van der Velde
This best model was applied on an independent inference set discriminating crop type with a Macro F1 score of 88. 1% and main phenological stage at 86. 9% at the parcel level.
no code implementations • 19 May 2021 • Raphaël d'Andrimont, Astrid Verhegghen, Guido Lemoine, Pieter Kempeneers, Michele Meroni, Marijn van der Velde
Finally, the crop areas derived by classification are compared to the subnational (NUTS 2) area statistics reported by Eurostat.