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

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 t...

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Veröffentlicht in:Reviews in aquaculture 2021-09, Vol.13 (4), p.2076-2091
Hauptverfasser: Mustapha, Umar Farouk, Alhassan, Abdul‐Wadud, Jiang, Dong‐Neng, Li, Guang‐Li
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Alhassan, Abdul‐Wadud
Jiang, Dong‐Neng
Li, Guang‐Li
description 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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subjects Aquaculture
Aquaculture development
Artificial intelligence
Bionics
Cameras
Capture fisheries
CIA (cloud computing internet of things and artificial intelligence)
Cloud computing
Demand
Disease detection
Disease recognition
Energy conservation
Environmental monitoring
Fish
fish health
Fisheries
Food
Food production
Food sources
Foods
Information technology
Internet of Things
Labour
Limiting factors
Manufacturing industry
Productivity
Proteins
Remote sensors
Resource utilization
Sorting algorithms
Sustainability
Sustainable aquaculture
Sustainable development
technology
title Sustainable aquaculture development: a review on the roles of cloud computing, internet of things and artificial intelligence (CIA)
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