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        <dc:title>Data Pre-processing for Agricultural Simulations</dc:title>
        <dc:creator>Jarolímek, J</dc:creator>
        <dc:creator>Pavlík, J</dc:creator>
        <dc:creator>Kholova, J</dc:creator>
        <dc:creator>Ronanki, S</dc:creator>
        <dc:subject>Crop Modelling</dc:subject>
        <dc:subject>Crop Physiology</dc:subject>
        <dc:subject>Data &amp; Analytics</dc:subject>
        <dc:description>The process of agricultural simulation using APSIM requires input meteorological data to be prepared&#13;
in a specific format and the simulation setting file to be ready before the simulation processing starts. Because&#13;
of possible time savings when conducting large number of simulations at once, it is preferable to create all&#13;
the input and settings files for all the simulations beforehand and process the simulations in batches as large&#13;
as possible. This article specifically deals with the data acquisition, transformation and preparation process.&#13;
It also outlines initial testing and computing time estimations and discusses scheduling, parallel processing&#13;
and other possible simulation optimization methods.</dc:description>
        <dc:date>2019-03</dc:date>
        <dc:type>Article</dc:type>
        <dc:type>PeerReviewed</dc:type>
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        <dc:language>en</dc:language>
        <dc:identifier>http://oar.icrisat.org/11517/1/Swarna_agris-on-line-2019-1-jarolimek-pavlik-kholova-ronanki%20%281%29.pdf</dc:identifier>
        <dc:identifier>  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     </dc:identifier>
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