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Development of technology for autonomous, bio-interactive and high quality data acquisition from aquaculture net cages

Illustration of cage with fish and AUV
Illustration CageReporter

The main idea for the project CageReporter is to use autonomous and non-tethered vehicles as a carrier of sensor systems for data acquisition, where the data are transferred from sea based fish cages to a centralized land base. The vehicle will use active motion control, and acquire data from the cage environment while exploring the water volume, hereinafter named cage space. Such vehicles are commonly referred to as AUVs (Autonomous Underwater Vehicle), which typically have a large capability of self-management and self-control. The main project objective is to develop technology for autonomous functionality for adaptive mission planning to achieve high quality data acquisition from the cage space. One of the most important capabilities within this context is to operate in interaction with the biomass (bio-interactive) and the aquaculture structures.

The project will address many challenges within the aquaculture industry related to poor accuracy and representative sampling of important variables to describe both details and the whole picture. A successful project outcome will lead to new technology for collection of high resolution data in time and space that could be utilized for assessment of the fish farm state, grouped within three main areas: A) fish, B) aquaculture structures and C) production environment. Examples of areas of applications are detection of abnormal fish behaviour, net inspection and mapping of water quality. CageReporter will provide for continuous and close follow up of the current situation and be the mobile eyes of the fish farmer in the cage space environment.
The project idea is based on using low-cost technology for underwater communication, vehicle positioning and camera systems for 3D vision.

The project will carry out research within four main areas:

  • Underwater communication and position reference systems
  • Data acquisition and real-time analysis of data quality
  • Autonomous systems
  • Underwater docking systems
Published 13 June 2017

Project duration

01/01/2017 - 31/12/2019


  • Water Linked AS (prosjekteier)
  • SINTEF Ocean AS (prosjektleder)
  • Sealab AS
  • Norsk Havservice AS
  • NTNU
  • University of Applied Sciences and Art Western Switzerland (HES-SO)


The project is 50% financed by the Norwegian Research Council