Method of numerical correction of errors occasioned by delay of records during the monitoring of environmental variables of interest for animal production

Method of numerical correction of errors occasioned by delay of records during the monitoring of environmental variables of interest for animal production

Thermal and air conditions inside animal facilities change during the day due to the influence of the external environment. For statistical and geostatistical analyses to be representative, a large number of points spatially distributed in the facility area must be monitored. This work suggests that the time variation of environmental variables of interest for animal production, monitored within animal facility, can be modeled accurately from discrete-time records. The aim of this study was to develop a numerical method to correct the temporal variations of these environmental variables, transforming the data so that such observations are independent of the time spent during the measurement. The proposed method approached values recorded with time delays to those expected at the exact moment of interest, if the data were measured simultaneously at the moment at all points distributed spatially. The correction model for numerical environmental variables was validated for environmental air temperature parameter, and the values corrected by the method did not differ by Tukey's test at 5% significance of real values recorded by data loggers.

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Main Authors: Gabriel Filho,Luís R. A., Pereira,Danilo F., Barato,Fernando F., De Magalhães,Marcelo M.
Format: Digital revista
Language:English
Published: Associação Brasileira de Engenharia Agrícola 2011
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162011000500001
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spelling oai:scielo:S0100-691620110005000012011-11-17Method of numerical correction of errors occasioned by delay of records during the monitoring of environmental variables of interest for animal productionGabriel Filho,Luís R. A.Pereira,Danilo F.Barato,Fernando F.De Magalhães,Marcelo M. geoestatistical animal precision production mathematical methods Thermal and air conditions inside animal facilities change during the day due to the influence of the external environment. For statistical and geostatistical analyses to be representative, a large number of points spatially distributed in the facility area must be monitored. This work suggests that the time variation of environmental variables of interest for animal production, monitored within animal facility, can be modeled accurately from discrete-time records. The aim of this study was to develop a numerical method to correct the temporal variations of these environmental variables, transforming the data so that such observations are independent of the time spent during the measurement. The proposed method approached values recorded with time delays to those expected at the exact moment of interest, if the data were measured simultaneously at the moment at all points distributed spatially. The correction model for numerical environmental variables was validated for environmental air temperature parameter, and the values corrected by the method did not differ by Tukey's test at 5% significance of real values recorded by data loggers.info:eu-repo/semantics/openAccessAssociação Brasileira de Engenharia AgrícolaEngenharia Agrícola v.31 n.5 20112011-10-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162011000500001en10.1590/S0100-69162011000500001
institution SCIELO
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country Brasil
countrycode BR
component Revista
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databasecode rev-scielo-br
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region America del Sur
libraryname SciELO
language English
format Digital
author Gabriel Filho,Luís R. A.
Pereira,Danilo F.
Barato,Fernando F.
De Magalhães,Marcelo M.
spellingShingle Gabriel Filho,Luís R. A.
Pereira,Danilo F.
Barato,Fernando F.
De Magalhães,Marcelo M.
Method of numerical correction of errors occasioned by delay of records during the monitoring of environmental variables of interest for animal production
author_facet Gabriel Filho,Luís R. A.
Pereira,Danilo F.
Barato,Fernando F.
De Magalhães,Marcelo M.
author_sort Gabriel Filho,Luís R. A.
title Method of numerical correction of errors occasioned by delay of records during the monitoring of environmental variables of interest for animal production
title_short Method of numerical correction of errors occasioned by delay of records during the monitoring of environmental variables of interest for animal production
title_full Method of numerical correction of errors occasioned by delay of records during the monitoring of environmental variables of interest for animal production
title_fullStr Method of numerical correction of errors occasioned by delay of records during the monitoring of environmental variables of interest for animal production
title_full_unstemmed Method of numerical correction of errors occasioned by delay of records during the monitoring of environmental variables of interest for animal production
title_sort method of numerical correction of errors occasioned by delay of records during the monitoring of environmental variables of interest for animal production
description Thermal and air conditions inside animal facilities change during the day due to the influence of the external environment. For statistical and geostatistical analyses to be representative, a large number of points spatially distributed in the facility area must be monitored. This work suggests that the time variation of environmental variables of interest for animal production, monitored within animal facility, can be modeled accurately from discrete-time records. The aim of this study was to develop a numerical method to correct the temporal variations of these environmental variables, transforming the data so that such observations are independent of the time spent during the measurement. The proposed method approached values recorded with time delays to those expected at the exact moment of interest, if the data were measured simultaneously at the moment at all points distributed spatially. The correction model for numerical environmental variables was validated for environmental air temperature parameter, and the values corrected by the method did not differ by Tukey's test at 5% significance of real values recorded by data loggers.
publisher Associação Brasileira de Engenharia Agrícola
publishDate 2011
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162011000500001
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