Control and management of water quality for Nile tilapia fish in net tanks based on fuzzy modeling

Being classified as one of the most important species for fish farming, the Nile tilapia has seen a huge increase in breeding worldwide. As in any cultural medium, dealing with the quality of the medium in which it is grown guarantees a large part of the success of the process, being of equal impor...

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Main Authors: Vinícius Mastelini, Timóteo Ramos Queiroz, Luís Roberto Almeida Gabriel Filho, Mario Mollo Neto
Format: Article
Language:English
Published: Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP) 2023-11-01
Series:Revista Brasileira de Engenharia de Biossistemas
Subjects:
Online Access:https://seer.tupa.unesp.br/index.php/BIOENG/article/view/1197
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author Vinícius Mastelini
Timóteo Ramos Queiroz
Luís Roberto Almeida Gabriel Filho
Mario Mollo Neto
author_facet Vinícius Mastelini
Timóteo Ramos Queiroz
Luís Roberto Almeida Gabriel Filho
Mario Mollo Neto
author_sort Vinícius Mastelini
collection DOAJ
description Being classified as one of the most important species for fish farming, the Nile tilapia has seen a huge increase in breeding worldwide. As in any cultural medium, dealing with the quality of the medium in which it is grown guarantees a large part of the success of the process, being of equal importance, in this case, the quality of the water. Taking advantage of existing mathematical models, humans were able to measure and design best practices in virtually all areas, pointing to its great functionality, this article used the Fuzzy logic mathematical model together with Mamdani inference to analyze water quality scenarios and their consequences, various environments, variables, capable of directly affecting fish farming. The purpose was to use the MatLab scientific software to cross these variables with the possible output scenarios, facilitating the producer's decision-making. As a result of the research, it was possible to develop an algorithm to be embedded in a mobile application in the future with fuzzy mathematical modeling, with a Mamdani inference system for management and control of water quality in Nile Tilapia fish farming. The same will be made available to these breeders, since it has a structure of rules, aiming at the delivery of scientific information that collaborates with the best cultivation practices, improving production and profitability, through decision support to fish farmers.
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spelling doaj.art-4efce48f12234984885e08514da1bfa62023-11-13T21:01:44ZengUniversidade Estadual Paulista Júlio de Mesquita Filho (UNESP)Revista Brasileira de Engenharia de Biossistemas1981-70612359-67242023-11-011710.18011/bioeng.2023.v17.1197Control and management of water quality for Nile tilapia fish in net tanks based on fuzzy modelingVinícius Mastelini0Timóteo Ramos Queiroz1Luís Roberto Almeida Gabriel Filho2Mario Mollo Neto3Graduate Program in Agribusiness and Development, School of Science and Engineering, São Paulo State University - UNESP, Tupã, SP, Brazil. University Center of Adamantina – UNIFAI, Adamantina, SP, Brazil.Graduate Program in Agribusiness and Development, School of Science and Engineering, São Paulo State University - UNESP, Tupã, SP, Brazil. Department of Management, Development and Technology, School of Science and Engineering, São Paulo State University - UNESP, Tupã, SP, Brazil.Graduate Program in Agribusiness and Development, School of Science and Engineering, São Paulo State University - UNESP, Tupã, SP, Brazil. Department of Management, Development and Technology, School of Science and Engineering, São Paulo State University - UNESP, Tupã, SP, Brazil.Graduate Program in Agribusiness and Development, School of Science and Engineering, São Paulo State University - UNESP, Tupã, SP, Brazil. Department of Biosystems Engineering, School of Science and Engineering, São Paulo State University - UNESP, Tupã, SP, Brazil. Being classified as one of the most important species for fish farming, the Nile tilapia has seen a huge increase in breeding worldwide. As in any cultural medium, dealing with the quality of the medium in which it is grown guarantees a large part of the success of the process, being of equal importance, in this case, the quality of the water. Taking advantage of existing mathematical models, humans were able to measure and design best practices in virtually all areas, pointing to its great functionality, this article used the Fuzzy logic mathematical model together with Mamdani inference to analyze water quality scenarios and their consequences, various environments, variables, capable of directly affecting fish farming. The purpose was to use the MatLab scientific software to cross these variables with the possible output scenarios, facilitating the producer's decision-making. As a result of the research, it was possible to develop an algorithm to be embedded in a mobile application in the future with fuzzy mathematical modeling, with a Mamdani inference system for management and control of water quality in Nile Tilapia fish farming. The same will be made available to these breeders, since it has a structure of rules, aiming at the delivery of scientific information that collaborates with the best cultivation practices, improving production and profitability, through decision support to fish farmers. https://seer.tupa.unesp.br/index.php/BIOENG/article/view/1197Mathematical ModelsDecision MakingMeasureDesignMatLab
spellingShingle Vinícius Mastelini
Timóteo Ramos Queiroz
Luís Roberto Almeida Gabriel Filho
Mario Mollo Neto
Control and management of water quality for Nile tilapia fish in net tanks based on fuzzy modeling
Revista Brasileira de Engenharia de Biossistemas
Mathematical Models
Decision Making
Measure
Design
MatLab
title Control and management of water quality for Nile tilapia fish in net tanks based on fuzzy modeling
title_full Control and management of water quality for Nile tilapia fish in net tanks based on fuzzy modeling
title_fullStr Control and management of water quality for Nile tilapia fish in net tanks based on fuzzy modeling
title_full_unstemmed Control and management of water quality for Nile tilapia fish in net tanks based on fuzzy modeling
title_short Control and management of water quality for Nile tilapia fish in net tanks based on fuzzy modeling
title_sort control and management of water quality for nile tilapia fish in net tanks based on fuzzy modeling
topic Mathematical Models
Decision Making
Measure
Design
MatLab
url https://seer.tupa.unesp.br/index.php/BIOENG/article/view/1197
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AT luisrobertoalmeidagabrielfilho controlandmanagementofwaterqualityforniletilapiafishinnettanksbasedonfuzzymodeling
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