[HTML][HTML] Digital Twins in intensive aquaculture—Challenges, opportunities and future prospects

M Føre, MO Alver, JA Alfredsen, A Rasheed… - … and Electronics in …, 2024 - Elsevier
Digital Twin technology has emerged to become a key enabling technology in the ongoing
transition into Industry 4.0. A Digital Twin is in essence a digital representation of an asset …

Robust automatic net damage detection and tracking on real aquaculture environment using computer vision

J Labra, MD Zuniga, J Rebolledo, MA Ahmed… - Aquacultural …, 2023 - Elsevier
Sea cage inspection is a crucial task in marine aquaculture for both controlling the quality in
the fish development process and the environmental impact of these facilities. Net damage …

Aquaculture field robotics: Applications, lessons learned and future prospects

HB Amundsen, M Xanthidis, M Føre, SJ Ohrem… - arXiv preprint arXiv …, 2024 - arxiv.org
Aquaculture is a big marine industry and contributes to securing global food demands.
Underwater vehicles such as remotely operated vehicles (ROVs) are commonly used for …

Autonomous Underwater Robotic System for Aquaculture Applications

W Akram, M Ahmed, L Seneviratne… - arXiv preprint arXiv …, 2023 - arxiv.org
Aquaculture is a thriving food-producing sector producing over half of the global fish
consumption. However, these aquafarms pose significant challenges such as biofouling …

Evaluating Deep Learning Assisted Automated Aquaculture Net Pens Inspection Using ROV

W Akram, M Ahmed, L Seneviratne… - arXiv preprint arXiv …, 2023 - arxiv.org
In marine aquaculture, inspecting sea cages is an essential activity for managing both the
facilities' environmental impact and the quality of the fish development process. Fish escape …

Detecting Holes in Fish Farming nets: A Two–Method approach

K Paraskevas, E Kavallieratou - 2023 International Conference …, 2023 - ieeexplore.ieee.org
This paper presents two different techniques for detecting holes in fish farming nets using
image processing. The first technique utilizes the OpenCV library, while the second employs …

Motion trajectory estimation of salmon using stereo vision

TA Nygård, JH Jahren, C Schellewald, A Stahl - IFAC-PapersOnLine, 2022 - Elsevier
A main concern for the aquaculture industry is the fish behaviour and welfare. Motion
trajectory analysis of salmon at aquaculture farming sites with respect to certain aquaculture …

Detecting Holes in Fishery Nets using an ROV

K Paraskevas, E Kavallieratou - 2022 International Conference …, 2022 - ieeexplore.ieee.org
This paper presents a methodology that detects holes in the nets of Kefalonia Fisheries SA,
a division of Grupo Profand. The methodology uses Computer Vision and Deep Learning …

Irregularity detection in net pens exploiting Computer Vision

C Schellewald, A Stahl - IFAC-PapersOnLine, 2022 - Elsevier
Protecting the remaining wild salmon stock in Norway is of utmost importance and requires
that farmed salmon cannot escape from aquaculture sites. As holes in net-cages are …

Deep Learning Machine Vision Solutions for Monitoring Safety Structures to Supplement Building Information Models

T Aihkisalo, A Purhonen… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Building Information Models (BIM), provide a static view on building structures on design
and construction time. During construction time, the safety structures and their positioning …