文献类型：期刊文献

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

作者：Mustapha, Umar Farouk[1];Alhassan, Abdul-Wadud[2];Jiang, Dong-Neng[1];Li, Guang-Li[1]

机构：[1]Guangdong Ocean Univ, Guangdong Prov Famous Fish Reprod Regulat & Breed, Fisheries Coll, Zhanjiang, Peoples R China;[2]Nanjing Univ Sci & Technol, Sch Comp Sci & Engn, Nanjing, Peoples R China

年份：2021

卷号：13

期号：4

起止页码：2076

外文期刊名：REVIEWS IN AQUACULTURE

收录：SSCI(收录号：WOS:000634285200001)、SCI-EXPANDED(收录号：WOS:000634285200001)、、Scopus(收录号：2-s2.0-85103239743)、WOS

基金：This study was supported by grants from the Key Project of "Blue Granary Science and Technology Innovation" of the Ministry of Science and Technology (2018YFD0901203); the National Natural Science Foundation of China (31702326); Natural Science Foundation of Guangdong Province (2018B030311050; 2019A1515012042 and 2019A1515010958); Department of Education of Guangdong Province (2018KTSCX090); Program for Scientific Research Start-Up Funds of Guangdong Ocean University.

语种：英文

外文关键词：aquaculture; CIA (cloud computing internet of things and artificial intelligence); fish health; productivity; sustainability; technology

外文摘要：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.