Single trout seen from the side

Trout

We have developed machine learning models specifically for trout (Oncorhynchus mykiss), enabling our system to deliver accurate weight and growth calculations, automatic lice counts, and high-precision monitoring of fish welfare in trout farming.
Unique machine learning models for trout

Ensuring accurate data-collecting from trout farming

While trout (Oncorhynchus mykiss) share many similarities with salmon, the differences are significant enough that traditional salmon farming systems simply won’t deliver optimal results for trout production. That’s why Aquabyte has developed a solution specifically tailored to trout, with models built around the species’ biology and behaviour. This gives farmers reliable data and insights that are adapted to their specific production needs.
Screen shot of trout data presented in Aquabyte User Portal

Insights into welfare, weight, and lice status

Weight, welfare, and lice data from the trout pens are continuously updated through our user portal – giving trout farmers real-time insights into the status and wellbeing of their fish. A total of twelve trout welfare parameters are constantly monitored, including wounds, eye damage, and deformities. Daily lice data – combined with up to two weeks of predictive lice forecasts – allows farmers to plan treatments proactively, reduce stress on the fish, and optimize overall production performance.

Video from a trout pen recorded with our camera