IoT technologies for water quality monitoring in aquaculture

Authors

DOI:

https://doi.org/10.31637/epsir-2025-929

Keywords:

Aquaculture, Water Quality, Digitization of information, Internet of Things (IoT), Embedded Systems, Communication Protocols, Monitoring Systems, Cloud Services

Abstract

Introduction: IoT technologies in aquaculture offer innovative solutions to improve operational efficiency and resource management in aquaculture farms, optimising the production process. Methodology: A comprehensive review of the scientific literature was conducted to evaluate the benefits of IoT technologies in aquaculture. The research analysed various tools such as environmental sensors, tracking systems and automation devices. Results: Among the tools highlighted were sensors that monitor water quality and temperature in real time, RFID and GPS systems for inventory tracking, and automation devices that regulate processes such as feeding and energy management. These elements improve logistics, reduce costs and increase productivity. Discussion: Integrating IoT platforms with advanced data analytics enables decisions based on accurate information, optimising production and minimising risks. Conclusions: IoT technologies provide a holistic and sustainable approach to aquaculture farm management, improving conditions for fish growth and optimising the use of natural resources and energy.

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Author Biographies

Karens Medrano, Universidad Don Bosco

I studied Computer Science Engineering at Don Bosco University and I have a Master's Degree in Integrated Management of Security, Systems and Computer Networks. I have advanced knowledge in programming, relational databases and Big Data. In addition, I have experience in emerging technologies such as Internet of Things (IoT) and virtual and augmented reality. My academic background and technical skills enable me to address complex challenges in the field of IT and technology, standing out for my ability to implement innovative and secure solutions in diverse digital environments.

Evelyn Hernández, Universidad Don Bosco

I studied Computer Science Engineering at Don Bosco University and I have a Master's degree in Educational Technology. I have advanced knowledge in programming, relational databases and Big Data. In addition, I have experience in emerging technologies such as the Internet of Things (IoT). My academic background and technical skills enable me to address complex challenges in the field of computer science and technology, standing out for my ability to implement innovative and secure solutions in diverse digital environments.

Rene Tejada, Universidad Don Bosco

I studied Computer Science Engineering at Don Bosco University and I have a Master's degree in Integrated Management of Security, Systems and Computer Networks. I have advanced knowledge in programming, relational databases and a strong specialisation in network infrastructures. In addition, I have experience in emerging technologies such as Internet of Things (IoT), virtual and augmented reality. My academic background and technical skills enable me to tackle complex IT and technology challenges, and I excel in implementing innovative and secure solutions in diverse digital environments.

Angel Moreno, Universidad Don Bosco

I am currently a student of the Master's Degree in Industrial Automation, an Electronic Engineering graduate and an Electronic Engineering technician with a specialisation in telecommunications. I have specialised in the development of projects that allow the integration of electronic instrumentation and power systems, electronic communications networks and technologies for the automation of industrial processes.

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Published

2024-12-18

How to Cite

Medrano, K., Hernández, E., Tejada, R., & Moreno, A. (2024). IoT technologies for water quality monitoring in aquaculture. European Public & Social Innovation Review, 10, 1–16. https://doi.org/10.31637/epsir-2025-929

Issue

Section

Research and Artificial Intelligence