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APPLICATION FOR WATER QUALITY ANALYSIS FOR TILAPIA FISH FARMING IN CAGES

Mastelini V;
Neto MM

Vinícius Mastelini

Mario Mollo Neto


Keywords

Decision support
Quality assurance
Improvement of production process
Control of breeding facilities
Improved competitiveness

Abstract

With the ability to ensure food and a source of income for the planet, fish farming and fishing, which are already widely practiced activities around the world, continue to grow all over the globe. The quality of the water for this type of activity is essential. The control of chemical and physical factors of the water can guarantee the success or not of the breeding. There are many ways to analyze water quality, however, not all of them are simple or easy to manage. The growing use of mobile devices has been seeking to facilitate this task, collaborating more and more with these and other activities. In order to corroborate this evolution, the "Water Quality Monitor" application was modeled and developed, with the objective of providing, in a simple, easy and accessible way, relevant information on water quality scenarios for raising Nile tilapia fish, in cage rearing. The application development methodology was based on the Rational Unified Process, focused on objects within the programming and structured by UML diagrams. The final modeling proved to be able to support the construction of an application to meet the expected requirements for the evaluation of water quality, which during its use, allowed the control of chemical and physical factors of the water, ensuring the success of the creation, or indicating mitigating solutions for the necessary corrections to the process, being later validated in a case study.

 

DOI:https://doi.org/10.56238/sevened2024.029-024


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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Copyright (c) 2024 Vinícius Mastelini, Mario Mollo Neto