As the global demand for seafood continues to rise amidst declining fish populations, experts are turning to computer science and artificial intelligence (AI) to revolutionize commercial fishing practices. AI-driven technologies are emerging as powerful tools to address critical challenges facing the fishing industry, offering solutions to enhance fisheries management and promote a sustainable future for our oceans.
In the Netherlands, Edwin van Helmond from Wageningen University and Research is at the forefront of utilizing AI to tackle unwanted catches in EU fisheries. Through the Fully Documented Fisheries (FDF) project, van Helmond and his team have developed an AI-based tool to streamline catch documentation onboard vessels. This innovative tool automatically identifies fish species, size, and weight, providing real-time analysis to help fishers make informed decisions and comply with regulations.
Meanwhile, in the Western Indian Ocean, a collaborative effort led by researchers from Wildlife Conservation Society (WCS), Lancaster University, Macquarie University, and ENTROPIE has yielded another AI breakthrough. By leveraging satellite data and machine learning algorithms, the team has developed a model capable of accurately estimating coastal fish stocks with 85 percent accuracy. This groundbreaking model provides valuable insights for small-scale fishers, empowering them with critical information to manage their fisheries effectively.
The application of AI in fisheries management is not without its challenges. Tim McClanahan, director of marine science at WCS, highlights the importance of addressing data issues and ensuring the relevance of AI-driven predictions to stakeholders. Despite these challenges, the potential of AI to revolutionize fisheries operations and promote sustainable practices is undeniable.
As AI technologies continue to evolve, experts emphasize the need for interdisciplinary collaboration and effective coordination to maximize their benefits in fisheries management. By harnessing the power of AI, stakeholders can work towards a future where healthy fish stocks and thriving ecosystems coexist, ensuring the long-term viability of our oceans and the communities dependent on them.
