The Aquaculture industry is a sector that faces difficulties in maintaining a high-quality production of food in a sustainable way due to the technological limitations of the commercial tools and the lack of integration of systems and sensors that can monitor the environmental variables and physiological characteristics of the animals. In most aquaculture farms, human operators are still responsible for collecting data manually and over long time intervals. In this way, management and decision-making depends on the operator's experience and can be negatively affected by human subjectivity. The application of Industry 4.0 concepts to collect and store data in real time using interconnected sensors and other automated equipment allows to increase the accuracy of the farm's operation and support faster and evidence-based decisions. This work presents an overview of some Industry 4.0-based approaches used to improve the quality, productivity and sustainability of the aquaculture industry. Initially, the Industry 4.0 definition and main concepts are presented as well as the consequences of its implementation for the improvement of general industrial processes. Following that, the current scenario of the aquaculture industry in terms of global food production and the main limitations of the sector that can be supported by intelligent systems to improve results are presented. In the next sections, specific technologies such as camera systems for animal and environmental monitoring, sensing networks and IoT to collect, transmit and store data, automated devices to support some activities and monitoring tasks, tools to support data interpretation and decision-making and modern sensing strategies for hard-to-monitor parameters are detailed. This review article shows the feasibility of using the aforementioned technologies to improve results of the aquaculture industry and, due to its advantages, it is believed that its widespread use can fill the existing gaps in this field of research in the next years.

由于商业工具的技术限制以及缺乏能够监测环境变量和生理特征的系统和传感器的集成，水产养殖业是一个以可持续方式维持高质量食品生产面临困难的部门。动物们。在大多数水产养殖场中，人类操作员仍然负责长时间手动收集数据。这样，管理和决策取决于操作者的经验，并且可能受到人的主观性的负面影响。应用工业 4.0 概念，使用互连传感器和其他自动化设备实时收集和存储数据，可以提高农场运营的准确性，并支持更快的基于证据的决策。这项工作概述了一些用于提高水产养殖业质量、生产力和可持续性的基于工业 4.0 的方法。首先介绍了工业 4.0 的定义和主要概念，以及其实施对改善一般工业流程的影响。接下来，介绍了水产养殖业在全球粮食生产方面的现状以及该行业可以通过智能系统支持来改善结果的主要局限性。在接下来的部分中，具体技术例如用于动物和环境监测的摄像头系统、用于收集、传输和存储数据的传感网络和物联网、用于支持某些活动和监测任务的自动化设备、详细介绍了支持数据解释和决策的工具以及难以监控参数的现代传感策略。这篇综述文章展示了使用上述技术来提高水产养殖业成果的可行性，并且由于其优势，相信其广泛使用可以在未来几年填补该研究领域的现有空白。