Benefits and challenges of the internet of things in aquaculture production: a literature review

To advance research that enables the integration of Industry 4.0 technologies and enhances competitiveness in the aquaculture sector, it is crucial to review the existing literature on the applications, architecture, and challenges of the Internet of Things (IoT) in production processes. This study employs a structured five-phase methodology, which includes the formulation of three research questions, a targeted search for relevant information using key descriptors in the Dimensions database, the establishment of inclusion and exclusion criteria, the assessment of the relevance and quality of selected contributions, and the synthesis of findings. The analysis identified key factors affecting production, as well as the architectural components essential for monitoring water quality. The results indicate that the IoT presents a significant opportunity for growth in the sector. Nevertheless, several challenges remain, including limited access to and design of devices, inadequate connectivity for data transmission, data storage constraints, high energy consumption, sensor calibration issues, and poor-quality sensory data that can impede effective decision-making. The study concludes that addressing this technological gap will require the development of low-cost, yet highly efficient, hardware and software solutions tailored to the specific needs of the aquaculture industry.

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Publication Details

Journal
Frontiers in Sustainable Food Systems
Published
2025-08-15
DOI
https://doi.org/10.3389/fsufs.2025.1590153
Citations
4
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
3.27
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article

Benefits and challenges of the internet of things in aquaculture production: a literature review

Alexis López‐Padilla, Maria Claudia Rodríguez, Carlos González, Cristina Rodríguez et al.
4 citations
Frontiers in Sustainable Food Systems
Water Quality Monitoring Technologies
3.27
article

Benefits and challenges of the internet of things in aquaculture production: a literature review

Alexis López‐Padilla, Maria Claudia Rodríguez, Carlos González, Cristina Rodríguez, Eivy Daniel Coneo Almanza, Jose Ángel Regino-Vergara
article en
4 citations

Abstract

To advance research that enables the integration of Industry 4.0 technologies and enhances competitiveness in the aquaculture sector, it is crucial to review the existing literature on the applications, architecture, and challenges of the Internet of Things (IoT) in production processes. This study employs a structured five-phase methodology, which includes the formulation of three research questions, a targeted search for relevant information using key descriptors in the Dimensions database, the establishment of inclusion and exclusion criteria, the assessment of the relevance and quality of selected contributions, and the synthesis of findings. The analysis identified key factors affecting production, as well as the architectural components essential for monitoring water quality. The results indicate that the IoT presents a significant opportunity for growth in the sector. Nevertheless, several challenges remain, including limited access to and design of devices, inadequate connectivity for data transmission, data storage constraints, high energy consumption, sensor calibration issues, and poor-quality sensory data that can impede effective decision-making. The study concludes that addressing this technological gap will require the development of low-cost, yet highly efficient, hardware and software solutions tailored to the specific needs of the aquaculture industry.

Frontiers in Sustainable Food SystemsVol. 9
University of Cartagena (CO), Technological University of Choco (CO), Universidad del Sinú (CO)
Openalex Percentile: Top 8%
Water Quality Monitoring Technologies
3.27
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Benefits and challenges of the internet of things in aquaculture production: a literature review — Alexis López‐Padilla, Maria Claudia Rodríguez, et al. · Frontiers in Sustainable Food Systems (2025) | TGRS Research Map | TGRS