Intelligent aquaculture

Each year, there is a significant rise in demand for global food production due to population increase and a rise in demand for protein food sources. This puts pressure on capture fishery as fish is a preferred protein source worldwide. However, the more resources we put into the capture fisheries to obtain maximum catch, the faster the fisheries stock becomes depleted. The best option left to produce enough fish to meet demand is relying on advanced aquaculture. Unfortunately, the impact of technological advancement in the aquaculture sector is not profound compared to the agricultural and manufacturing sectors. The advent of Cloud computing, Internet of Things, and Artificial Intelligence (CIA) has expanded numerous possibilities for applying and integrating information technology in all works of life. This article reviews the emergence of research development on CIA and the potential to revolutionize the aquaculture industry. The use of CIA techniques and tools such as drones, nano and micro-sensors, bionic robots, remote cameras, intelligent sorting, energy-saving processing equipment, statistical modules, and algorithms will reduce human intervention and increase aquaculture productivity. Also, the application of CIA in the aquaculture value chain to ensure effectiveness in traceability, feeding, disease detection, growth prediction, environmental monitoring, market information, and others is key to increasing aquaculture productivity and sustainability. Therefore, the future of aquaculture operations with less human labour, effective maintenance, and resource utilization largely depend on innovative technologies. Here, we outlined the need for adopting innovative technologies and the limiting factors that hinge on CIA adoption in the aquaculture industry.

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“…Also, its production mode requires much‐skilled personnel, thereby affecting cost‐effectiveness (Engle et al . 2020; Li & Li 2020). Engle et al .…”

Section: Deploying Cia In Aquaculturementioning

confidence: 99%

Sustainable aquaculture development: a review on the roles of cloud computing, internet of things and artificial intelligence (CIA)

Mustapha

Alhassan

Jiang

et al. 2021

Reviews in Aquaculture

109

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“…These can be implemented in aquaculture for fish identification, mass estimation, and behavior management. In addition, it is necessary to create new sensors which integrate several functions in a sensor/multifunctional sensor with high reliability, have the wide range applications, and long-life cycle [65]. Figure 3 shows an IoT aquaculture system [64,65].…”

Section: Water Quality Monitoring In Smart Aquaculturementioning

confidence: 99%

Overview of Smart Aquaculture System: Focusing on Applications of Machine Learning and Computer Vision

Kim

2021

Electronics

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Smart aquaculture is nowadays one of the sustainable development trends for the aquaculture industry in intelligence and automation. Modern intelligent technologies have brought huge benefits to many fields including aquaculture to reduce labor, enhance aquaculture production, and be friendly to the environment. Machine learning is a subdivision of artificial intelligence (AI) by using trained algorithm models to recognize and learn traits from the data it watches. To date, there are several studies about applications of machine learning for smart aquaculture including measuring size, weight, grading, disease detection, and species classification. This review provides and overview of the development of smart aquaculture and intelligent technology. We summarized and collected 100 articles about machine learning in smart aquaculture from nearly 10 years about the methodology, results as well as the recent technology that should be used for development of smart aquaculture. We hope that this review will give readers interested in this field useful information.

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“…Reproduced with permission from Tetsuo and Kobayashi [14] . System integration that involves connecting the various aquaculture sub-systems to function as a whole or complete unit of operation as can be seen from Figure 2 is the key to success of an intelligent aquaculture [15] . Among the Aquaculture 4.0 technologies, AI is receiving an increasing interest.…”

Section: Figurementioning

confidence: 99%

Application of Fourth Industrial Revolution Technologies to Marine Aquaculture for Future Food: Imperatives, Challenges and Prospects

et al. 2021

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This study was undertaken to examine the options and feasibility of deploying new technologies for transforming the aquaculture sector with the objective of increasing the production efficiency. Selection of technologies to obtain the expected outcome should, obviously, be consistent with the criteria of sustainable development. There is a range of technologies being suggested for driving change in aquaculture to enhance its contribution to food security. It is necessary to highlight the complexity of issues for systems approach that can shape the course of development of aquaculture so that it can live-up to the expected fish demand by 2030 in addition to the current quantity of 82.1 million tons. Some of the Fourth Industrial Revolution (IR4.0) technologies suggested to achieve this target envisage the use of real-time monitoring, integration of a constant stream of data from connected production systems and intelligent automation in controls. This requires application of mobile devices, internet of things (IoT), smart sensors, artificial intelligence (AI), big data analytics, robotics as well as augmented virtual and mixed reality. AI is receiving more attention due to many reasons. Its use in aquaculture can happen in many ways, for example, in detecting and mitigating stress on the captive fish which is considered critical for the success of aquaculture. While the technology intensification in aquaculture holds a great potential but there are constraints in deploying IR4.0 tools in aquaculture. Possible solutions and practical options, especially with respect to future food choices are highlighted in this paper.

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Intelligent aquaculture

Cited by 29 publications

References 10 publications

Sustainable aquaculture development: a review on the roles of cloud computing, internet of things and artificial intelligence (CIA)

Sustainable aquaculture development: a review on the roles of cloud computing, internet of things and artificial intelligence (CIA)

Overview of Smart Aquaculture System: Focusing on Applications of Machine Learning and Computer Vision

Application of Fourth Industrial Revolution Technologies to Marine Aquaculture for Future Food: Imperatives, Challenges and Prospects

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