Desenvolvimento de um sistema automatizado de aeração para piscicultura

Abstract

Fish production in Brazil has shown significant growth, driving the need for greater productivity to meet market demand. To achieve this, the adoption of new techniques and technologies becomes essential. One of the main challenges in fish farming is the control of water quality and dissolved oxygen levels, which are crucial for fish health and, consequently, for production efficiency. In this context, this work proposes an automation system for the continuous monitoring of these variables and the automatic activation of aerators, which are responsible for increasing oxygen levels in the water. The system can be connected to optical probes for detecting parameters such as dissolved oxygen and temperature, whose values are read and interpreted by a controller prototype. The collected information is then transmitted to a Raspberry Pi 5, which is responsible for data processing. Interaction with the system is performed through a graphical interface that allows the user to monitor parameters and adjust configurations as needed, with access available both locally and remotely. The system outputs are activated automatically according to the conditions programmed in the software and operator interventions. Thus, the project aims to provide greater practicality in farm management, in addition to optimizing productivity and reducing operational costs.