Predicting Salmon Appetite through Time Series Modeling

During the Spring of 2024, ReLU worked on analyzing and predicting feeding amounts in salmon farming. Given the complexity of salmon farming, shaped by both natural feeding behaviors and operational practices at Grieg, understanding the key factors that influence feeding is crucial for making accurate predictions.

To uncover these factors, the team applied Explainable AI (XAI) techniques such as SHAP to interpret model behavior and reveal underlying patterns in the feeding data. For the predictive task, state-of-the-art classification models, including XGBoost, were employed.

Our final delivery consisted of both analyses and proposed predictive models, presented in a report detailing model performance, key findings, and accompanying code implementations.

  • Grieg Seafood is an international seafood company specializing in fresh Atlantic salmon. Headquartered in Bergen, Norway, the company operates fish farms in Rogaland and Finnmark in Norway, British Columbia, and Shetland. Annually, Grieg Seafood produces significant quantities of salmon, primarily serving the North American and Asian markets.

    The company was founded as a subsidiary of the Grieg Group and is listed on the Oslo Stock Exchange. It has a history of expansion and innovation, including a merger with the Volden Group and past operations in Denmark and Chile. Grieg Seafood is recognized for its commitment to sustainable practices, having been awarded by the Global Aquaculture Alliance for Best Aquaculture Practices. It is a major player in the salmon farming industry, particularly in British Columbia, Canada.