{"title":"Industry 4.0-based smart systems in aquaculture: A comprehensive review","authors":"Vitorino Biazi, Carlos Marques","doi":"10.1016/j.aquaeng.2023.102360","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":8120,"journal":{"name":"Aquacultural Engineering","volume":"103 ","pages":"Article 102360"},"PeriodicalIF":3.6000,"publicationDate":"2023-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aquacultural Engineering","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S014486092300047X","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AGRICULTURAL ENGINEERING","Score":null,"Total":0}
引用次数: 2
Abstract
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.
期刊介绍：
Aquacultural Engineering is concerned with the design and development of effective aquacultural systems for marine and freshwater facilities. The journal aims to apply the knowledge gained from basic research which potentially can be translated into commercial operations.
Problems of scale-up and application of research data involve many parameters, both physical and biological, making it difficult to anticipate the interaction between the unit processes and the cultured animals. Aquacultural Engineering aims to develop this bioengineering interface for aquaculture and welcomes contributions in the following areas:
– Engineering and design of aquaculture facilities
– Engineering-based research studies
– Construction experience and techniques
– In-service experience, commissioning, operation
– Materials selection and their uses
– Quantification of biological data and constraints
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