eprintid: 11517
rev_number: 8
eprint_status: archive
userid: 3170
dir: disk0/00/01/15/17
datestamp: 2020-06-15 05:35:10
lastmod: 2020-06-15 05:35:10
status_changed: 2020-06-15 05:35:10
type: article
metadata_visibility: show
creators_name: Jarolímek, J
creators_name: Pavlík, J
creators_name: Kholova, J
creators_name: Ronanki, S
creators_gender: Female
icrisatcreators_name: Kholova, J
affiliation: Department of Information Technologies, Faculty of Economics and Management, University of Life, Sciences Prague, Czech Republic
affiliation: ICRISAT (Patancheru)
affiliation: Analysis for Climate Smart Agriculture, Hyderabad, IndiaDepartment of Crop Production, ICAR - Indian Institute of Millets Research, Hyderabad, India
country: Czech Republic
country: India
title: Data Pre-processing for Agricultural Simulations
ispublished: pub
subjects: CPM
subjects: S2
subjects: S7
divisions: CRPS4
full_text_status: public
keywords: APSIM, Big data, Data processing, Yield optimization, Software automation, Parallel processing
note: 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"
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.
date: 2019-03
date_type: published
publication: Agris on-line Papers in Economics and Informatics
volume: 11
number: 01
pagerange: 49-53
id_number: doi:10.7160/aol.2019.110105
refereed: TRUE
issn: 1804-1930
official_url: https://doi.org/10.7160/aol.2019.110105
related_url_url: https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=10.7160%2Faol.2019.110105&btnG=
related_url_type: pub
citation:   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     
document_url: http://oar.icrisat.org/11517/1/Swarna_agris-on-line-2019-1-jarolimek-pavlik-kholova-ronanki%20%281%29.pdf