2.2.1. Big data technologies for monitoring of fisheries
Facing tremendous increase of data for fisheries monitoring, control and surveillance, the Big
Data can help in sorting out data coming from new technological tools. It offers an
alternative to traditional database and requests tools. Today, data is created and processed
on the cloud and displayed in near real-time on mobile devices. Big Data comprises customer
transaction records, production databases, web traffic logs, automation, satellites, sensors
and IoT.
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One of the major problems with Big Data implementation is the lack of common
language. For instance, there is no kind of “Big Data SQL” shared by various databases and
comparisons between systems are far from simple.
Big data can help in sorting the information especially in case of vessel traffic intensity. For
example,
new web-based technology
platform
e.g. Global Fishing Watch was launched by
Oceana, SkyTruth, Google in 2015 combining data from AIS sources (terrestrial and
satellite) with powerful algorithms to isolate suspect vessel behaviours. In addition, The
Eyes on the Seas Project was developed by Pew in partnership with Satellite Applications
Catapult, which unites satellite monitoring and imagery data with fishing vessel databases
and oceanographic data to help authorities detect suspect fishing activity in MPAs or
globally. Other national initiatives are under way.
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The Internet of things (IoT) is the network of physical devices, vehicles, and other items embedded with
electronics, software, sensors, actuators, and network connectivity which enable these objects to collect and
exchange data. Each thing is uniquely identifiable through its embedded computing system but is able to
interoperate within the existing Internet infrastructure.
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