System based on fuzzy logic for diagnosis of water quality for the cultivation of Nile tilápia
Autor(a) principal: | |
---|---|
Data de Publicação: | 2022 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Research, Society and Development |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/26933 |
Resumo: | Aquaculture is characterized as a system for the production of plants and animals in a controlled aquatic environment, being generally applied in a sustainable way on farms for presenting a fast economic return. Accurate and quick information about water quality is essential to guarantee both the survival of fish and their correct feed conversion. In this context, the objective of this article was to develop a decision support system, based on the theory of fuzzy sets, for the evaluation of water quality conditions and their influence on the productivity and ambience of Nile tilapia. The execution of this work was divided into three stages: a) bibliographic survey of the water quality parameters, considering their influence on the productive performance of the fish; b) the use of the results of the previous phase, together with contributions from experts, for the development of a fuzzy inference system for diagnosing water quality in breeding tanks; c) use the fuzzy system previously elaborated for analysis of a database representing a commercial tank. The results obtained in the present work were shown to be adequate for the classification of water quality for Nile tilapia, using the fuzzy modeling process. The classifications determined by the fuzzy model were similar to the classification given by the Boolean model. However, the divergences found between the models are relevant as small oscillations observed in the input variables (temperature and pH) do not indicate sudden changes in the model's output variable (water quality), in the case of the fuzzy model. |
id |
UNIFEI_8fa02727697618b57e3360ed3336b138 |
---|---|
oai_identifier_str |
oai:ojs.pkp.sfu.ca:article/26933 |
network_acronym_str |
UNIFEI |
network_name_str |
Research, Society and Development |
repository_id_str |
|
spelling |
System based on fuzzy logic for diagnosis of water quality for the cultivation of Nile tilápiaSistema basado en lógica difusa para el diagnóstico de la calidad del agua para el cultivo de tilapia del NiloSistema baseado na lógica fuzzy para diagnóstico da qualidade da água para o cultivo de tilápia-do-NiloFish farmingAquacultureMathematical modeling.PisciculturaAcuiculturaModelo matematico.PisciculturaAquiculturaModelagem matemática.Aquaculture is characterized as a system for the production of plants and animals in a controlled aquatic environment, being generally applied in a sustainable way on farms for presenting a fast economic return. Accurate and quick information about water quality is essential to guarantee both the survival of fish and their correct feed conversion. In this context, the objective of this article was to develop a decision support system, based on the theory of fuzzy sets, for the evaluation of water quality conditions and their influence on the productivity and ambience of Nile tilapia. The execution of this work was divided into three stages: a) bibliographic survey of the water quality parameters, considering their influence on the productive performance of the fish; b) the use of the results of the previous phase, together with contributions from experts, for the development of a fuzzy inference system for diagnosing water quality in breeding tanks; c) use the fuzzy system previously elaborated for analysis of a database representing a commercial tank. The results obtained in the present work were shown to be adequate for the classification of water quality for Nile tilapia, using the fuzzy modeling process. The classifications determined by the fuzzy model were similar to the classification given by the Boolean model. However, the divergences found between the models are relevant as small oscillations observed in the input variables (temperature and pH) do not indicate sudden changes in the model's output variable (water quality), in the case of the fuzzy model.La acuicultura se caracteriza por ser un sistema para la producción de plantas y animales en un ambiente acuático controlado, siendo aplicado de manera sustentable en granjas por presentar un rápido retorno. La información precisa y rápida sobre la calidad del água son fundamentales para garantizar la supervivencia de los peces. En este contexto, el objetivo de este artículo fue desarrollar un sistema de apoyo a la decisión, basado en la teoría de conjuntos difusos, para la evaluación de las condiciones de calidad del agua y su influencia en la productividad de la tilapia del Nilo. La ejecución se dividió en tres etapas: a) relevamiento bibliográfico de los parámetros de calidad del agua, considerando su influencia en el desempeño productivo de los peces; b) el desarrollo de un sistema de inferencia difusa para el diagnóstico de la calidad del agua en los tanques de cria; c) utilizar el sistema difuso elaborado previamente para el análisis de una base de datos que representa un tanque comercial de cría de tilapia del Nilo. Los resultados obtenidos demostraron ser adecuados para la clasificación de la calidad del agua para la tilapia del Nilo, utilizando el proceso de modelado difuso. Las clasificaciones determinadas por el modelo difuso son similares a la clasificación dada por el modelo booleano. Las divergencias encontradas entre los modelos son relevantes ya que las pequeñas oscilaciones observadas en las variables de entrada no indican cambios bruscos en la variable de salida del model, en el caso del modelo difuso.A aquicultura caracteriza-se como um sistema de produção de organismos (plantas e animais) em ambiente aquático controlado, sendo geralmente aplicada de forma sustentável nas fazendas por apresentar um rápido retorno econômico na produção de alimentos. Informações precisas e rápidas sobre a qualidade da água são fundamentais para garantir tanto a sobrevivência de peixes, quanto sua correta conversão alimentar. Nesse contexto, o objetivo deste artigo foi desenvolver um sistema de apoio à decisão, baseado na teoria dos conjuntos fuzzy, para a avaliação das condições de qualidade de água e sua influência na ambiência de tilápias do Nilo. A execução deste trabalho foi dividida em três etapas: a) levantamento bibliográfico dos parâmetros de qualidade de água, considerando sua influência no desempenho produtivo dos peixes; b) utilização dos resultados da fase anterior, somado a contribuições dos especialistas, para o desenvolvimento de um sistema de inferência fuzzy para diagnóstico da qualidade de água nos tanques de criação; c) Utilização do sistema fuzzy elaborado previamente para análise de um banco de dados representante de um tanque comercial de criação de tilápia-do-nilo. Os resultados obtidos mostraram-se adequados para a classificação da qualidade da água para tilápias-do-nilo, utilizando o processo de modelagem fuzzy. As classificações determinadas pelo modelo fuzzy assemelham-se com a classificação dada pelo modelo booleano. Contudo, as divergências encontradas entre os modelos mostram-se relevantes à medida que pequenas oscilações observadas nas variáveis de entrada (temperatura e pH) não indicam alterações bruscas na variável de saída do modelo (qualidade da água), no caso do modelo fuzzy.Research, Society and Development2022-03-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/2693310.33448/rsd-v11i4.26933Research, Society and Development; Vol. 11 No. 4; e3211426933Research, Society and Development; Vol. 11 Núm. 4; e3211426933Research, Society and Development; v. 11 n. 4; e32114269332525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/26933/23640Copyright (c) 2022 Sergio Luis de Castro Junior; Daniel Sá Freire Lamarca; Thiago Lorente Kraetzer; Glauber da Rocha Balthazar; Fernando de Lima Caneppelehttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessCastro Junior, Sergio Luis deLamarca, Daniel Sá Freire Kraetzer, Thiago Lorente Balthazar, Glauber da Rocha Caneppele, Fernando de Lima 2022-03-27T17:17:09Zoai:ojs.pkp.sfu.ca:article/26933Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:44:50.064598Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
System based on fuzzy logic for diagnosis of water quality for the cultivation of Nile tilápia Sistema basado en lógica difusa para el diagnóstico de la calidad del agua para el cultivo de tilapia del Nilo Sistema baseado na lógica fuzzy para diagnóstico da qualidade da água para o cultivo de tilápia-do-Nilo |
title |
System based on fuzzy logic for diagnosis of water quality for the cultivation of Nile tilápia |
spellingShingle |
System based on fuzzy logic for diagnosis of water quality for the cultivation of Nile tilápia Castro Junior, Sergio Luis de Fish farming Aquaculture Mathematical modeling. Piscicultura Acuicultura Modelo matematico. Piscicultura Aquicultura Modelagem matemática. |
title_short |
System based on fuzzy logic for diagnosis of water quality for the cultivation of Nile tilápia |
title_full |
System based on fuzzy logic for diagnosis of water quality for the cultivation of Nile tilápia |
title_fullStr |
System based on fuzzy logic for diagnosis of water quality for the cultivation of Nile tilápia |
title_full_unstemmed |
System based on fuzzy logic for diagnosis of water quality for the cultivation of Nile tilápia |
title_sort |
System based on fuzzy logic for diagnosis of water quality for the cultivation of Nile tilápia |
author |
Castro Junior, Sergio Luis de |
author_facet |
Castro Junior, Sergio Luis de Lamarca, Daniel Sá Freire Kraetzer, Thiago Lorente Balthazar, Glauber da Rocha Caneppele, Fernando de Lima |
author_role |
author |
author2 |
Lamarca, Daniel Sá Freire Kraetzer, Thiago Lorente Balthazar, Glauber da Rocha Caneppele, Fernando de Lima |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Castro Junior, Sergio Luis de Lamarca, Daniel Sá Freire Kraetzer, Thiago Lorente Balthazar, Glauber da Rocha Caneppele, Fernando de Lima |
dc.subject.por.fl_str_mv |
Fish farming Aquaculture Mathematical modeling. Piscicultura Acuicultura Modelo matematico. Piscicultura Aquicultura Modelagem matemática. |
topic |
Fish farming Aquaculture Mathematical modeling. Piscicultura Acuicultura Modelo matematico. Piscicultura Aquicultura Modelagem matemática. |
description |
Aquaculture is characterized as a system for the production of plants and animals in a controlled aquatic environment, being generally applied in a sustainable way on farms for presenting a fast economic return. Accurate and quick information about water quality is essential to guarantee both the survival of fish and their correct feed conversion. In this context, the objective of this article was to develop a decision support system, based on the theory of fuzzy sets, for the evaluation of water quality conditions and their influence on the productivity and ambience of Nile tilapia. The execution of this work was divided into three stages: a) bibliographic survey of the water quality parameters, considering their influence on the productive performance of the fish; b) the use of the results of the previous phase, together with contributions from experts, for the development of a fuzzy inference system for diagnosing water quality in breeding tanks; c) use the fuzzy system previously elaborated for analysis of a database representing a commercial tank. The results obtained in the present work were shown to be adequate for the classification of water quality for Nile tilapia, using the fuzzy modeling process. The classifications determined by the fuzzy model were similar to the classification given by the Boolean model. However, the divergences found between the models are relevant as small oscillations observed in the input variables (temperature and pH) do not indicate sudden changes in the model's output variable (water quality), in the case of the fuzzy model. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-03-10 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/26933 10.33448/rsd-v11i4.26933 |
url |
https://rsdjournal.org/index.php/rsd/article/view/26933 |
identifier_str_mv |
10.33448/rsd-v11i4.26933 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/26933/23640 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Research, Society and Development |
publisher.none.fl_str_mv |
Research, Society and Development |
dc.source.none.fl_str_mv |
Research, Society and Development; Vol. 11 No. 4; e3211426933 Research, Society and Development; Vol. 11 Núm. 4; e3211426933 Research, Society and Development; v. 11 n. 4; e3211426933 2525-3409 reponame:Research, Society and Development instname:Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI |
instname_str |
Universidade Federal de Itajubá (UNIFEI) |
instacron_str |
UNIFEI |
institution |
UNIFEI |
reponame_str |
Research, Society and Development |
collection |
Research, Society and Development |
repository.name.fl_str_mv |
Research, Society and Development - Universidade Federal de Itajubá (UNIFEI) |
repository.mail.fl_str_mv |
rsd.articles@gmail.com |
_version_ |
1797052763494940672 |