Design of wireless web-based multiplatform system for thermal environmental control of broiler facilities using fuzzy set theory

Abstract The control and monitoring process for broiler facilities needs to be improved to mitigate or eliminate birds’ thermal stress. Thus, the objective was to develop of a fuzzy controller embedded in a microcontroller and a multiplatform web application that communicates with the fuzzy controll...

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Main Authors: COSME TEIXEIRA DA SILVA, TADAYUKI YANAGI JUNIOR, RAPHAEL WINCKLER DE BETTIO, MARCELO BAHUTI
Format: Article
Language:English
Published: Academia Brasileira de Ciências 2025-03-01
Series:Anais da Academia Brasileira de Ciências
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652025000101313&tlng=en
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author COSME TEIXEIRA DA SILVA
TADAYUKI YANAGI JUNIOR
RAPHAEL WINCKLER DE BETTIO
MARCELO BAHUTI
author_facet COSME TEIXEIRA DA SILVA
TADAYUKI YANAGI JUNIOR
RAPHAEL WINCKLER DE BETTIO
MARCELO BAHUTI
author_sort COSME TEIXEIRA DA SILVA
collection DOAJ
description Abstract The control and monitoring process for broiler facilities needs to be improved to mitigate or eliminate birds’ thermal stress. Thus, the objective was to develop of a fuzzy controller embedded in a microcontroller and a multiplatform web application that communicates with the fuzzy controller to control the aviary climate system. An architecture based on the Internet of Things (IoT) and agribusiness 4.0 was used to implement a fuzzy controller embedded in a microcontroller. Data were collected by temperature and humidity sensors. A multiplatform web application communicated the climate system to the fuzzy controller. This information was transmitted to the central web server via message queuing telemetry transport (MQTT). The system performed decision-making to control the aviary thermal environment of broilers ranging from one to 49 days old. The input variables of the system were the black globe-humidity index (BGHI) and the bird age. Defuzzification by the center of gravity method produced environmental ratings that were used to control the thermal environment automatically and smartly. Using the intelligent prototype produced a 98% accuracy in the validation process. This low-cost system can be used as an agribusiness 4.0 application to mitigate thermal stress conditions in aviaries and, consequently, reduce productivity losses.
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issn 1678-2690
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publishDate 2025-03-01
publisher Academia Brasileira de Ciências
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spelling doaj-art-0aa052ef61c04fa6ab396ee3ff0111912025-08-20T02:53:54ZengAcademia Brasileira de CiênciasAnais da Academia Brasileira de Ciências1678-26902025-03-0197110.1590/0001-3765202520240032Design of wireless web-based multiplatform system for thermal environmental control of broiler facilities using fuzzy set theoryCOSME TEIXEIRA DA SILVAhttps://orcid.org/0000-0001-5304-5331TADAYUKI YANAGI JUNIORhttps://orcid.org/0000-0001-9653-205XRAPHAEL WINCKLER DE BETTIOhttps://orcid.org/0000-0003-3635-3580MARCELO BAHUTIhttps://orcid.org/0000-0002-1542-5058Abstract The control and monitoring process for broiler facilities needs to be improved to mitigate or eliminate birds’ thermal stress. Thus, the objective was to develop of a fuzzy controller embedded in a microcontroller and a multiplatform web application that communicates with the fuzzy controller to control the aviary climate system. An architecture based on the Internet of Things (IoT) and agribusiness 4.0 was used to implement a fuzzy controller embedded in a microcontroller. Data were collected by temperature and humidity sensors. A multiplatform web application communicated the climate system to the fuzzy controller. This information was transmitted to the central web server via message queuing telemetry transport (MQTT). The system performed decision-making to control the aviary thermal environment of broilers ranging from one to 49 days old. The input variables of the system were the black globe-humidity index (BGHI) and the bird age. Defuzzification by the center of gravity method produced environmental ratings that were used to control the thermal environment automatically and smartly. Using the intelligent prototype produced a 98% accuracy in the validation process. This low-cost system can be used as an agribusiness 4.0 application to mitigate thermal stress conditions in aviaries and, consequently, reduce productivity losses.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652025000101313&tlng=enartificial intelligenceautomationaviculture 40IoTpoultry farmthermal comfort
spellingShingle COSME TEIXEIRA DA SILVA
TADAYUKI YANAGI JUNIOR
RAPHAEL WINCKLER DE BETTIO
MARCELO BAHUTI
Design of wireless web-based multiplatform system for thermal environmental control of broiler facilities using fuzzy set theory
Anais da Academia Brasileira de Ciências
artificial intelligence
automation
aviculture 40
IoT
poultry farm
thermal comfort
title Design of wireless web-based multiplatform system for thermal environmental control of broiler facilities using fuzzy set theory
title_full Design of wireless web-based multiplatform system for thermal environmental control of broiler facilities using fuzzy set theory
title_fullStr Design of wireless web-based multiplatform system for thermal environmental control of broiler facilities using fuzzy set theory
title_full_unstemmed Design of wireless web-based multiplatform system for thermal environmental control of broiler facilities using fuzzy set theory
title_short Design of wireless web-based multiplatform system for thermal environmental control of broiler facilities using fuzzy set theory
title_sort design of wireless web based multiplatform system for thermal environmental control of broiler facilities using fuzzy set theory
topic artificial intelligence
automation
aviculture 40
IoT
poultry farm
thermal comfort
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652025000101313&tlng=en
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AT raphaelwincklerdebettio designofwirelesswebbasedmultiplatformsystemforthermalenvironmentalcontrolofbroilerfacilitiesusingfuzzysettheory
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