Evaluating the precision of eight spatial sampling schemes in estimating regional means of simulated yield for two crops. - Gang Zhao; Holger Hoffmann; Jagadeesh B. Yeluripati; Xenia Specka; Claas Nendel; Elsa Coucheney; Matthias Kuhnert; Fulu Tao; Julie Constantin; Hélène Raynal; Edmar I. Teixeira; Balázs Grosz; et al. (Environ. Model. Softw., 2016)

Development of an EPIC parallel computing framework to facilitate regional/global gridded crop modeling with multiple scenarios: A case study of the United States. - Won Seok Jang; Yonggwan Lee; Jason C. Neff; Youngbin Im; Sangtae Ha; Luca Doro (Comput. Electron. Agric., 2019)

Improving the simulation of soil temperature within the EPIC model. - Luca Doro; Xiuying Wang 003; Christof Ammann; Massimiliano De Antoni Migliorati; Thomas Grünwald; Katja Klumpp; Benjamin Loubet; Elizabeth Pattey; Georg Wohlfahrt; Jimmy R. Williams; M. Lee Norfleet (Environ. Model. Softw., 2021)

Residual correlation and ensemble modelling to improve crop and grassland models. - Renata Sándor; Fiona Ehrhardt; Peter Grace; Sylvie Recous; Pete Smith; Val Snow; Jean-François Soussana; Bruno Basso; Arti Bhatia; Lorenzo Brilli; Jordi Doltra; Christopher D. Dorich; et al. (Environ. Model. Softw., 2023)