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

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

Category
Report/thesis
Abstract
The CageReporter project adapts the use of autonomous and tetherless underwater 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 (Figure 1). The vehicle will use active motion con-trol and acquire data from the cage environment while exploring the fish cages. 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 im-portant capabilities within this context is to operate in a dynamically changing environment in interaction with the biomass (bio-interactive) and the aquaculture structures. The project addresses many challenges within the aquaculture industry related to poor accuracy and representative sampling of important variables from the whole volume of the cage. A suc-cessful project outcome will lead to new technology for collection of high-resolution data 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 applica-tions are detection of abnormal fish behaviour, net inspection and mapping of water quality. CageReporter will provide a solution for continuous 24/7 inspection of the current situation and will be the mobile eyes of the fish farmer in the cage environment. The project idea is based on using low-cost technology for underwater communication, vehicle positioning, and camera systems for 3D vision.
Client
  • Norges forskningsråd / 296476
Language
English
Author(s)
  • Kelasidi Eleni
  • Su Biao
  • Thorbjørnsen Eirik Storås
  • Moen Endre
  • Schellewald Christian
  • Yip Mau Hing
  • Remmen Bjørnar Moe
  • Mulelid Mats
Affiliation
  • SINTEF Ocean / Sjømatteknologi
  • Institute of Marine Research
Year
2020
Publisher
SINTEF Ocean AS
ISBN
978-82-7174-380-2