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of the European Council for Modelling and Simulation

Title:	*A Discrete Element Model For Agricultural Decision Support*
Authors:	Adam Kovacs, Janos Peter Radics, Gyoergy Kerenyi
Published in:	(2017).ECMS 2017 Proceedings Edited by: Zita Zoltay Paprika, Péter Horák, Kata Váradi, Péter Tamás Zwierczyk, Ágnes Vidovics-Dancs, János Péter Rádics European Council for Modeling and Simulation. doi:10.7148/2017 ISBN: 978-0-9932440-4-9/ ISBN: 978-0-9932440-5-6 (CD) 31st European Conference on Modelling and Simulation, Budapest, Hungary, May 23^rd – May 26^th, 2017
Citation format:	Adam Kovacs, Janos Peter Radics, Gyoergy Kerenyi (2017). A Discrete Element Model For Agricultural Decision Support, ECMS 2017 Proceedings Edited by: Zita Zoltay Paprika, Péter Horák, Kata Váradi, Péter Tamás Zwierczyk, Ágnes Vidovics-Dancs, János Péter Rádics European Council for Modeling and Simulation. doi: 10.7148/2017-0488
DOI:	https://doi.org/10.7148/2017-0488
Abstract:	One of the main goals of precision agriculture researches is to define a suitable decision support system (DSS) for farm management with the goal of optimizing returns on inputs while preserving resources. Therefore, our long-term objective is the development of an adequate DEM model which can be adapted in the actual decision support system (DSS) to create a new model driven decision support system (MDDS) to refine operational parameters. In this study, a preliminary step of our study is discussed: the predicted role of DEM modelling in decision making and a possible numerical model for corn stalk. The consequences of the study clearly demonstrate that the discrete element method is capable to reinforce agricultural decision support systems in the future and it is worth further analysing it.
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