Analysing data aggregation effects on large-scale yield simulations

Holger Hoffmann (1) , Gang Zhao (2) , Senthold Asseng (3) , Marco Bindi (4) , Davide Cammarano (5) , Julie Constantin (6) , Elsa Coucheney (7) , Rene Dechow (8) , Helene Raynal (9) , Frank Ewert (1)

1 Crop Science Group
2 Rheinische Friedrich-Wilhelms-Universität Bonn
3 UF - University of Florida [Gainesville]
4 Department of Agri - food Production and Environmental Sciences
5 The James Hutton Institute
6 AGIR - AGroécologie, Innovations, teRritoires
7 SLU - Swedish University of Agricultural Sciences = Sveriges lantbruksuniversitet
8 Thünen Institute of Climate Smart Agriculture
9 MIAT INRA - Unité de Mathématiques et Informatique Appliquées de Toulouse

Analysing data aggregation effects on large-scale yield simulations. iCROPM 2016 International Crop Modelling Symposium "Crop Modelling for Agriculture and Food Security under Global Change"

Domaines: Sciences du Vivant [q-bio]

Holger Hoffmann, Gang Zhao, Senthold Asseng, Marco Bindi, Davide Cammarano, et al.. Analysing data aggregation effects on large-scale yield simulations. iCROPM 2016 International Crop Modelling Symposium "Crop Modelling for Agriculture and Food Security under Global Change", Mar 2016, Berlin, Germany. , 441 p., 2016, International Crop Modelling Symposium "Crop Modelling for Agriculture and Food Security under Global Change" 2016. ⟨hal-01604215⟩