Visitors to this year’s IceFish will have the opportunity to learn from Icelandic company GreenFish how it is integrating cutting-edge technology to achieve substantial sustainability, efficiency and profitability gains in fisheries sectors.
Through advanced big data analytics, machine learning and AI, GreenFish’s platform predicts optimal fishing locations based on historical and real-time environmental data. This enables fishers to reduce fuel consumption while targeting the right species at the right time, minimising waste and supporting sustainable fishing practices.
The platform draws on data from diverse sources, including satellite information, historical catch records, and weather conditions, all processed using high-performance computing. By analysing these vast datasets, GreenFish forecasts the best fishing locations and times up to eight days ahead with 80% accuracy.
According to GreenFish, this predictive edge distinguishes it from existing solutions, which often rely on outdated information and manual data interpretation.
GreenFish is specifically tailored to meet the needs of captains, offering actionable insights on the species, size and quality they aim to catch.
GreenFish said that by focusing on the operational needs of large-scale commercial fishers, the platform is practical and easy to adopt, enhancing decision-making and improving overall efficiency.
In Iceland, GreenFish aligns with national sustainability objectives. It has received endorsements from the Icelandic Ministry for the Environment, Energy, and Climate, and the Marine Research Institute of Iceland. Catch up with the GreenFish team on stand Sbz7
[GreenFish.jpg] Caption: By using GreenFish, fisheries can increase the predictability of their operations
