Data Pre-processing for Agricultural Simulations

Jarolímek, J and Pavlík, J and Kholova, J and Ronanki, S (2019) Data Pre-processing for Agricultural Simulations. Agris on-line Papers in Economics and Informatics, 11 (01). pp. 49-53. ISSN 1804-1930

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Abstract

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.

Item Type:	Article
Divisions:	Research Program : Innovation Systems for the Drylands (ISD)
CRP:	UNSPECIFIED
Uncontrolled Keywords:	APSIM, Big data, Data processing, Yield optimization, Software automation, Parallel processing
Subjects:	Others > Crop Modelling Others > Crop Physiology Others > Data & Analytics
Depositing User:	Mr Arun S
Date Deposited:	15 Jun 2020 05:35
Last Modified:	15 Jun 2020 05:35
URI:	http://oar.icrisat.org/id/eprint/11517
Official URL:	https://doi.org/10.7160/aol.2019.110105
Projects:	UNSPECIFIED
Funders:	UNSPECIFIED
Acknowledgement:	This article was created with the support of the Internal Grant Agency (IGA) of FEM CULS in Prague, no. 2019A0017 "Bulk processing of large volumes of geographical data"
Links:	Google Scholar

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