Pisciculture 4.0: Technology and innovation in the fish production

Autores

  • Lucas da Silva. Alisson Gabriel
  • Fernandes Gadelha. Arthur
  • Magno de Lima. Carlos
  • Silva do Nascimento. Wallace

Palavras-chave:

Aquaponics, Internet of Things, Problem Based Learning, ESP32, Pisciculture 4.0

Resumo

The aquaponics system is a sustainable model of food cultivation that involves the creation of fish and
plants in controlled environments (Aquaculture and Hydroponics) that require a high level of quality,
maintenance, and production. This work's main objective is to present the development of a monitoring system
based on the Internet of Things (IoT) technology. It proposes the supervision of a substrate cultivation method
(Media-filled bed) in which several parameters are monitored through sensors connected by the ESP32
microcontroller, and actuators such as pumps and others. The system collects sensor data and stores it in a
database. They are treated by optimization algorithms and presented in a graphical visualization WEB interface.
Information is delivered in real-time, facilitating safe decision-making at the production and maintenance levels
of the aquaponics system. The framework also allows the safe presentation of time series for analysis and
production planning. This system was developed and is being installed in a Research Base of the Aquaculture
Engineering and Mechanical Engineering courses with the participation of students from the Science and
Technology and Mechatronics Engineering courses at UFRN, using the PBL (Problem Based Learning)
methodology.

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Publicado

2024-05-29

Edição

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