At Brim farm, our ambition is clear: to develop a fish farming solution that can operate largely autonomously. Achieving this goal requires that every part of the infrastructure — including technical installations and sensor systems — is designed to meet the demands of a truly autonomous concept.
Biological parameters will be at the heart of the system. They will define the normal operating windows and set critical limits, directly controlling technical installations that impact both fish welfare and the operational performance of the farm.
A comprehensive 3D digital twin — an exact replica of the as-built structure, arrangements, and outfitting — will be created and maintained throughout the farm’s operational life. This virtual model will be continuously updated with real-time operational data, ensuring that every insight gained during farming activities can be analysed, optimised, and used to refine operations.
Over time, artificial intelligence (AI) and machine learning (ML) technologies will be integrated into the system. These tools will help identify patterns, predict potential challenges, and drive improvements, ultimately defining a Brim farm "Best Practice" for sustainable, efficient fish cultivation.
At Brim farm, we are not just adapting to the future of aquaculture — we are building it.
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