FishAI: The Lodestar fishing platform

• Published in: Nordic Machine Intelligence
• Main Authors: Brekke, Åsmund, Dammen, Jonas, Hole, Kristian Andersen, Løddesøl, Ludvig, Ortheden, Julia, Roaldsnes, Tomas
• Format: Article in Journal/Newspaper
• Language: English
• Published: University of Oslo Library 2023
• Subjects: artificial intelligence; machine learning; fishing; automatic reporting; fish prediction; web app; industrial fishing optimization; data driven fishing; Nordic Seas
• Online Access: https://journals.uio.no/NMI/article/view/9931; https://doi.org/10.5617/nmi.9931

Lodestar is a web app for fishers to improve their efficiency at sea, by giving valuable input to the decision making on where to fish and which route to take. It combines historical catch data with environmental data to predict the most likely location of 10 different species across the Nordic seas, and shows it in an interactive map. It is both time sensitive and allows the user to plug in preferences to best show where specific fish species have historically been in the current conditions and suggest a route for the coming week.