Agris on-line Papers in Economics and Informatics

Faculty of Economics and Management CULS Prague, Kamýcká 129, 165 00 Praha - Suchdol

The international peer-reviewed scientific journal, ISSN 1804-1930

Data Pre-processing for Agricultural Simulations

Jan Jarolímek, Jan Pavlík, Jana Kholova, Swarna Ronanki

DOI: 10.7160/aol.2019.110105

Agris on-line Papers in Economics and Informatics, No 1 /2019, March

pp. 49-53

Jarolímek, J., Pavlík, J., Kholova, J. and Ronanki, S. (2019) “Data Pre-processing for Agricultural Simulations", AGRIS on-line Papers in Economics and Informatics, Vol. 11, No. 1, pp. 49-53. ISSN 1804-1930.DOI 10.7160/aol.2019.110105.


The process of agricultural simulation using APSIM requires input meteorological data to be prepared in a specific format and the simulation setting file to be ready before the simulation processing starts. Because of possible time savings when conducting large number of simulations at once, it is preferable to create all the input and settings files for all the simulations beforehand and process the simulations in batches as large as possible. This article specifically deals with the data acquisition, transformation and preparation process. It also outlines initial testing and computing time estimations and discusses scheduling, parallel processing and other possible simulation optimization methods.


APSIM, big data, data processing, yield optimization, software automation, parallel processing.


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