How AI and satellites are used to combat illegal fishing
Fishing is a way of life for coastal communities around the world. An estimated four million fishing vessels sail the world’s oceans, providing fish for a global seafood market valued at over $120 billion.
“It’s hard to overstate the importance of fish,” says Nick Wise, CEO of the nonprofit organization OceanMind. “There are three billion people in the world who rely on seafood as their primary source of protein, mostly in developing nations. Twelve percent of the world’s population relies on the wild-capture seafood industry directly or indirectly for their livelihoods.”
Overfishing — when fish is caught faster than stocks can replenish — is a significant factor in the decline of ocean wildlife populations, not least because of the bycatch of other marine life such as turtles and cetaceans. Each of these creatures is an important part of ecosystems and the biodiversity of the ocean.
The United Nations Food and Agriculture Organization estimates one-third of all fish stocks are now overfished and are no longer biologically sustainable.
“A collapse in fish stocks and a failure to manage fishing sustainably,” says Wise, “would lead to a food security crisis and result in significant poverty around the world.”
To fight back against this overfishing, OceanMind is using the power of AI to map data and then feeding that information to government authorities to help catch perpetrators.
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Regional, national and international regulations are used to manage fishing efforts and can include restrictions on fishing out of season, using banned gear or techniques, or catching more than a set quota.
There are many ways of trying to catch those flouting the law, such as patrol boats, on-board cameras, and the remote electronic monitoring of discards.
However, the vastness of the ocean makes the job difficult.
OceanMind’s system currently tracks thousands of boats, with the capability of tracking millions, across the globe by gathering data from a wide range of sources, including collision-avoidance transponders aboard boats; radar images; satellite imagery; and cellphone signals. Analyzing these enormous datasets is beyond the capability of any one person. OceanMind has developed machine-learning algorithms that predict the type of fishing behavior based on vessel location, and flags suspicious and potentially illegal activity such as fishing too close to the shore.
But the system can’t tell on its own whether anyone is breaking the law.
“The difference between legal and illegal fishing is simply whether or not the vessel had a license to do what it did in that place, at that time, and in that way,” says Wise. “That’s what makes combating illegal fishing challenging: One vessel making a particular maneuver might be legal, another vessel doing the same thing next to it might be illegal.”
OceanMind’s fisheries experts verify the alerts flagged by AI and coordinate closely with the relevant authorities, who can then decide whether to investigate further. The organization already has partnerships with governments, including Thailand’s, which can then target resources to catch offenders.
Until now, OceanMind has used onsite servers to process the data that comes in every day. “We were basically running a day behind,” explains Wise. “We reviewed things that were happening yesterday.”
Through a Microsoft AI for Earth grant, OceanMind is moving its data analytics to the Microsoft Azure cloud. “The collaboration with Microsoft is going to bring all of that data through our system much more quickly and apply the AI in near real time.”
That transformation will make a big difference to enforcement. Real-time monitoring will help authorities plan patrols that can catch illegal fishing as it happens.
It isn’t just governments and charities that are determined to do something about such concerning statistics. Consumers are increasingly worried about the state of our oceans, and they want to know the products they buy come from sustainable sources.
And firms such as the U.K. supermarket chain Sainsbury’s have partnered with OceanMind to ensure they are sourcing fish from vessels that follow not just the law, but environmentally sound practices.
“In the tuna industry there is something called fish aggregation device fishing,” explains Wise. “Vessels will put a giant device in the open ocean that gives shade. Fish like to gather underneath it, and the vessel lays a net and sucks it all out of the ocean. But it’s not just adult tuna, it’s everything. So it’s not very sustainable. There is a premium for fish that are not caught in this way, and we can help validate the difference.”
On World Oceans Day, June 8, events around the globe will be raising awareness of the importance of protecting biodiversity and looking after the marine environment.
Preventing overfishing and illegal fishing is an important part of that equation, ensuring that ecosystems are preserved.
The fact that consumers around the world are beginning to care about how their fish has been sourced is one step along that journey.
“It’s great that people are paying attention,” says Wise. “But illegal fishers be warned — our message is that we are paying attention every single day.”
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