Application of fuzzy logic on correlation between piglet’s surface temperature and thermal comfort for Piracicaba

The constant influence of the human-being in animal management activities, besides increasing the cost of production, becomes a source of animal stress; which generates the most important signs of the process, acting as a bio-sensor that needs to be measured in a continuous and direct way. From the...

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Main Authors: Isabella Cardoso Ferreira da Silva Condotta, Késia Oliveira da Silva Miranda, Gustavo Marques Mostaço
Format: Article
Language:English
Published: Instituto de Zootecnia 2015-02-01
Series:Boletim de Indústria Animal
Subjects:
Online Access:http://ojs.iz.sp.gov.br/index.php/bia/article/view/373
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author Isabella Cardoso Ferreira da Silva Condotta
Késia Oliveira da Silva Miranda
Gustavo Marques Mostaço
author_facet Isabella Cardoso Ferreira da Silva Condotta
Késia Oliveira da Silva Miranda
Gustavo Marques Mostaço
author_sort Isabella Cardoso Ferreira da Silva Condotta
collection DOAJ
description The constant influence of the human-being in animal management activities, besides increasing the cost of production, becomes a source of animal stress; which generates the most important signs of the process, acting as a bio-sensor that needs to be measured in a continuous and direct way. From the many available options to obtain an animal temperature parameter, the measurement of external temperature proves to be a less invasive method. Fuzzy system, based on fuzzy logic, works with inaccurate information and converts them into a mathematical language with easy computational implementation. Therefore, this work aims to use fuzzy logic as a tool for assessing the degree of swine thermal comfort, using variables data entry related to the environment and the animal. For this purpose, a simulation using Microsoft Excel software was performed with the possible environmental conditions of the region of Piracicaba (Dry Bulb Temperature - Ts and Relative Humidity - UR), interacting with the local altitude (z) and potential tympanic piglets temperatures (TiF) using equations 1 and 2 adapted from Mostaço (2014). After performing the simulations, Rectal Temperature (TR) and respiratory frequency (FR) data obtained were crossed with FR, TR and critical temperatures for condition of thermal comfort of piglets (5th to 8th week) values, proposed by Mostaço (2014) through the fuzzy logical toolbox of MATLAB software. Ts, UR and TiF were used as variables, the variable output obtained was the Thermal Comfort (TC), rated as good (situation of comfort), bad (stress due to excess or lack of heat) and very bad (death of the animal). Membership functions were generated from data, correlating all the variables that were subdivided into relevant groups; furthermore, a system of rules was generate, whereby it was possible to simulate inputs of environmental and animal characteristics, resulting the probable condition of the animal thermal comfort. The study concluded that the application of fuzzy logic provided a model of easy interpretation and adaptability, on achieving a recognized comfort degree for piglets. It proved to be able to change the rules system and membership functions, to attend other locations and other phases of growth; which indicates the possibility of developing a model that determines the occurrence of heat stress from swine body temperature and environment data, assisting in decision making and therefore improving the welfare quality and reducing production costs.
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spelling doaj.art-990fc79b2bd54d2c90d318b8a74b08ef2023-08-08T23:03:58ZengInstituto de ZootecniaBoletim de Indústria Animal1981-41002015-02-0171Application of fuzzy logic on correlation between piglet’s surface temperature and thermal comfort for PiracicabaIsabella Cardoso Ferreira da Silva CondottaKésia Oliveira da Silva MirandaGustavo Marques MostaçoThe constant influence of the human-being in animal management activities, besides increasing the cost of production, becomes a source of animal stress; which generates the most important signs of the process, acting as a bio-sensor that needs to be measured in a continuous and direct way. From the many available options to obtain an animal temperature parameter, the measurement of external temperature proves to be a less invasive method. Fuzzy system, based on fuzzy logic, works with inaccurate information and converts them into a mathematical language with easy computational implementation. Therefore, this work aims to use fuzzy logic as a tool for assessing the degree of swine thermal comfort, using variables data entry related to the environment and the animal. For this purpose, a simulation using Microsoft Excel software was performed with the possible environmental conditions of the region of Piracicaba (Dry Bulb Temperature - Ts and Relative Humidity - UR), interacting with the local altitude (z) and potential tympanic piglets temperatures (TiF) using equations 1 and 2 adapted from Mostaço (2014). After performing the simulations, Rectal Temperature (TR) and respiratory frequency (FR) data obtained were crossed with FR, TR and critical temperatures for condition of thermal comfort of piglets (5th to 8th week) values, proposed by Mostaço (2014) through the fuzzy logical toolbox of MATLAB software. Ts, UR and TiF were used as variables, the variable output obtained was the Thermal Comfort (TC), rated as good (situation of comfort), bad (stress due to excess or lack of heat) and very bad (death of the animal). Membership functions were generated from data, correlating all the variables that were subdivided into relevant groups; furthermore, a system of rules was generate, whereby it was possible to simulate inputs of environmental and animal characteristics, resulting the probable condition of the animal thermal comfort. The study concluded that the application of fuzzy logic provided a model of easy interpretation and adaptability, on achieving a recognized comfort degree for piglets. It proved to be able to change the rules system and membership functions, to attend other locations and other phases of growth; which indicates the possibility of developing a model that determines the occurrence of heat stress from swine body temperature and environment data, assisting in decision making and therefore improving the welfare quality and reducing production costs.http://ojs.iz.sp.gov.br/index.php/bia/article/view/373swinethermal comfortfuzzy logic
spellingShingle Isabella Cardoso Ferreira da Silva Condotta
Késia Oliveira da Silva Miranda
Gustavo Marques Mostaço
Application of fuzzy logic on correlation between piglet’s surface temperature and thermal comfort for Piracicaba
Boletim de Indústria Animal
swine
thermal comfort
fuzzy logic
title Application of fuzzy logic on correlation between piglet’s surface temperature and thermal comfort for Piracicaba
title_full Application of fuzzy logic on correlation between piglet’s surface temperature and thermal comfort for Piracicaba
title_fullStr Application of fuzzy logic on correlation between piglet’s surface temperature and thermal comfort for Piracicaba
title_full_unstemmed Application of fuzzy logic on correlation between piglet’s surface temperature and thermal comfort for Piracicaba
title_short Application of fuzzy logic on correlation between piglet’s surface temperature and thermal comfort for Piracicaba
title_sort application of fuzzy logic on correlation between pigleta€™s surface temperature and thermal comfort for piracicaba
topic swine
thermal comfort
fuzzy logic
url http://ojs.iz.sp.gov.br/index.php/bia/article/view/373
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