How emerging data technologies can increase trust and transparency in fisheries
2019 | 2020
Probst, Wolfgang Nikolaus
The ubiquitous spread of digital networks has created techniques which can organize, store, and analyse large data volumes in an automizedand self-administered manner in real time. These technologies will have profound impacts on policy, administration, economy, trade, society,and science. This article sketches how three digital data technologies, namely the blockchain, data mining, and artificial intelligence could impact commercial fisheries including producers, wholesalers, retailers, consumers, management authorities, and scientist. Each of these three technologies is currently experiencing an enormous boost in technological development and real-world implementation and is predicted to increasingly affect many aspects of fisheries and seafood trade. As any economic sector acting on global scales, fishing and seafood production are often challenged with a lack of trust along various steps of the production process and supply chain. Consumers are often not well informed on the origin and production methods of their product, management authorities can only partly control fishing and trading activities and producers can be challenged by low market prices and competition with peers. The emerging data technologies can improve the trust among agents within the fisheries sector by increasing transparency and availability of information from net to plate.
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书目信息
出版者 Oxford University Press
ISSN 1054-3139