Fuzzy system to evaluate performance and the physiological responses of piglets raised in the farrowing house with different solar heating systems

Detalhes bibliográficos
Autor(a) principal: Damasceno, Flávio Alves
Data de Publicação: 2019
Outros Autores: Oliveira, Carlos Eduardo Alves, Abreu, Lucas Henrique Pedrozo, Osorio Saraz, Jairo Alexander, Ferraz, Patricia Ferreira Ponciano
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/40160
Resumo: The present work aims to develop a mathematical model, based on fuzzy set theory, for predicting performance and the physiological responses of piglets raised in the farrowing house with different solar heating systems. To do this, a solar heater prototype was constructed using alternative materials and the heating efficiency was compared with a commercial solar heater system. In order to thermally evaluate the heaters, temperature sensors were installed in the inlet and outlet pipes of each floor and thermal reservoir. The fuzzy system was developed and the variables dry air bulb temperature (Tbs) and relative humidity (RH) of the air were defined as inputs. Based on the input variables, the fuzzy system predicts the productive performance (weight gain - WG) and physiological responses (respiratory rate - RR, rectal temperature - RT, and skin temperature - ST) of piglets raised in an environment with solar heating. Based on the results, the fuzzy model was adequate for predicting the physiological responses and productive performance of piglets, presenting low standard deviation and high correlation with the validation data. This model can be used to assist producers in decision making, especially regarding maintaining animal welfare while the thermal environment changes.
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spelling Fuzzy system to evaluate performance and the physiological responses of piglets raised in the farrowing house with different solar heating systemsSistema fuzzy para evaluar el rendimiento y las respuestas fisiológicas de las lechones en la casa de granjas con diferentes sistemas de calefacción solarComputational simulationSwineThermal comfortSimulación computacionalPorcinosConfort térmicoSimulação computacionalSuínosConforto térmicoThe present work aims to develop a mathematical model, based on fuzzy set theory, for predicting performance and the physiological responses of piglets raised in the farrowing house with different solar heating systems. To do this, a solar heater prototype was constructed using alternative materials and the heating efficiency was compared with a commercial solar heater system. In order to thermally evaluate the heaters, temperature sensors were installed in the inlet and outlet pipes of each floor and thermal reservoir. The fuzzy system was developed and the variables dry air bulb temperature (Tbs) and relative humidity (RH) of the air were defined as inputs. Based on the input variables, the fuzzy system predicts the productive performance (weight gain - WG) and physiological responses (respiratory rate - RR, rectal temperature - RT, and skin temperature - ST) of piglets raised in an environment with solar heating. Based on the results, the fuzzy model was adequate for predicting the physiological responses and productive performance of piglets, presenting low standard deviation and high correlation with the validation data. This model can be used to assist producers in decision making, especially regarding maintaining animal welfare while the thermal environment changes.RESUMEN: El presente trabajo tiene como objetivo desarrollar un modelo matemático, basado en la teoría de conjuntos difusos, para predecir el rendimiento y las respuestas fisiológicas de lechones criados en la casa de maternidad con diferentes sistemas de calefacción solar. Para ello, se construyó un prototipo de calentador solar utilizando materiales alternativos y se comparó la eficiencia de calentamiento con un sistema de calentador solar comercial. Con el fin de evaluar térmicamente los calentadores, se instalaron sensores de temperatura en las tuberías de entrada y salida de cada piso y depósito térmico. El sistema difuso se desarrolló y las variables temperatura de bulbo de aire seco (Tbs) y humedad relativa (HR) del aire se definieron como entradas. Con base en las variables de entrada, el sistema difuso predice el rendimiento productivo (ganancia de peso - WG) y las respuestas fisiológicas (frecuencia respiratoria - RR, temperatura rectal - TR y temperatura de la piel - ST) de los lechones criados en un ambiente con calentamiento solar. Con base en los resultados, el modelo difuso fue adecuado para predecir las respuestas fisiológicas y el rendimiento productivo de los lechones, presentando baja desviación estándar y alta correlación con los datos de validación. Este modelo puede utilizarse para ayudar a los productores en la toma de decisiones, especialmente en lo que respecta al mantenimiento del bienestar animal mientras el entorno térmico cambia.Universidad Nacional de Colombia2020-04-17T16:44:35Z2020-04-17T16:44:35Z2019-04info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfDAMASCENO, F. A. et al. Fuzzy system to evaluate performance and the physiological responses of piglets raised in the farrowing house with different solar heating systems. Revista Facultad Nacional de Agronomía Medellín, Medellín, v. 72, n. 1, p. 8729-8742, abr. 2019.http://repositorio.ufla.br/jspui/handle/1/40160Revista Facultad Nacional de Agronomía Medellínreponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAhttp://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccessDamasceno, Flávio AlvesOliveira, Carlos Eduardo AlvesAbreu, Lucas Henrique PedrozoOsorio Saraz, Jairo AlexanderFerraz, Patricia Ferreira Poncianoeng2020-04-17T16:46:10Zoai:localhost:1/40160Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2020-04-17T16:46:10Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Fuzzy system to evaluate performance and the physiological responses of piglets raised in the farrowing house with different solar heating systems
Sistema fuzzy para evaluar el rendimiento y las respuestas fisiológicas de las lechones en la casa de granjas con diferentes sistemas de calefacción solar
title Fuzzy system to evaluate performance and the physiological responses of piglets raised in the farrowing house with different solar heating systems
spellingShingle Fuzzy system to evaluate performance and the physiological responses of piglets raised in the farrowing house with different solar heating systems
Damasceno, Flávio Alves
Computational simulation
Swine
Thermal comfort
Simulación computacional
Porcinos
Confort térmico
Simulação computacional
Suínos
Conforto térmico
title_short Fuzzy system to evaluate performance and the physiological responses of piglets raised in the farrowing house with different solar heating systems
title_full Fuzzy system to evaluate performance and the physiological responses of piglets raised in the farrowing house with different solar heating systems
title_fullStr Fuzzy system to evaluate performance and the physiological responses of piglets raised in the farrowing house with different solar heating systems
title_full_unstemmed Fuzzy system to evaluate performance and the physiological responses of piglets raised in the farrowing house with different solar heating systems
title_sort Fuzzy system to evaluate performance and the physiological responses of piglets raised in the farrowing house with different solar heating systems
author Damasceno, Flávio Alves
author_facet Damasceno, Flávio Alves
Oliveira, Carlos Eduardo Alves
Abreu, Lucas Henrique Pedrozo
Osorio Saraz, Jairo Alexander
Ferraz, Patricia Ferreira Ponciano
author_role author
author2 Oliveira, Carlos Eduardo Alves
Abreu, Lucas Henrique Pedrozo
Osorio Saraz, Jairo Alexander
Ferraz, Patricia Ferreira Ponciano
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Damasceno, Flávio Alves
Oliveira, Carlos Eduardo Alves
Abreu, Lucas Henrique Pedrozo
Osorio Saraz, Jairo Alexander
Ferraz, Patricia Ferreira Ponciano
dc.subject.por.fl_str_mv Computational simulation
Swine
Thermal comfort
Simulación computacional
Porcinos
Confort térmico
Simulação computacional
Suínos
Conforto térmico
topic Computational simulation
Swine
Thermal comfort
Simulación computacional
Porcinos
Confort térmico
Simulação computacional
Suínos
Conforto térmico
description The present work aims to develop a mathematical model, based on fuzzy set theory, for predicting performance and the physiological responses of piglets raised in the farrowing house with different solar heating systems. To do this, a solar heater prototype was constructed using alternative materials and the heating efficiency was compared with a commercial solar heater system. In order to thermally evaluate the heaters, temperature sensors were installed in the inlet and outlet pipes of each floor and thermal reservoir. The fuzzy system was developed and the variables dry air bulb temperature (Tbs) and relative humidity (RH) of the air were defined as inputs. Based on the input variables, the fuzzy system predicts the productive performance (weight gain - WG) and physiological responses (respiratory rate - RR, rectal temperature - RT, and skin temperature - ST) of piglets raised in an environment with solar heating. Based on the results, the fuzzy model was adequate for predicting the physiological responses and productive performance of piglets, presenting low standard deviation and high correlation with the validation data. This model can be used to assist producers in decision making, especially regarding maintaining animal welfare while the thermal environment changes.
publishDate 2019
dc.date.none.fl_str_mv 2019-04
2020-04-17T16:44:35Z
2020-04-17T16:44:35Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv DAMASCENO, F. A. et al. Fuzzy system to evaluate performance and the physiological responses of piglets raised in the farrowing house with different solar heating systems. Revista Facultad Nacional de Agronomía Medellín, Medellín, v. 72, n. 1, p. 8729-8742, abr. 2019.
http://repositorio.ufla.br/jspui/handle/1/40160
identifier_str_mv DAMASCENO, F. A. et al. Fuzzy system to evaluate performance and the physiological responses of piglets raised in the farrowing house with different solar heating systems. Revista Facultad Nacional de Agronomía Medellín, Medellín, v. 72, n. 1, p. 8729-8742, abr. 2019.
url http://repositorio.ufla.br/jspui/handle/1/40160
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidad Nacional de Colombia
publisher.none.fl_str_mv Universidad Nacional de Colombia
dc.source.none.fl_str_mv Revista Facultad Nacional de Agronomía Medellín
reponame:Repositório Institucional da UFLA
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Repositório Institucional da UFLA
collection Repositório Institucional da UFLA
repository.name.fl_str_mv Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv nivaldo@ufla.br || repositorio.biblioteca@ufla.br
_version_ 1807835053582974976

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