A System for Autonomous Seaweed Farm Inspection with an Underwater Robot.

Area of Science:

• Marine robotics
• Aquaculture technology
• Autonomous systems

Background:

• Emerging large-scale seaweed farming on the Swedish west coast necessitates advanced operational solutions.
• Current aquaculture practices require efficient monitoring and management systems.

Purpose of the Study:

• To outline operational challenges and opportunities for autonomous underwater vehicles (AUVs) in seaweed farming.
• To develop and demonstrate key technologies for integrating autonomous systems into seaweed farm operations.

Main Methods:

• System and methods for AUV operation in seaweed farms, including initial localization and dead-reckoning navigation.
• Utilizing sidescan sonar data collected from real ocean environments for algorithm development.
• Demonstrating results in a simulated seaweed farm setup.

Main Results:

• Development of a system and methods for operating AUVs within a seaweed farm environment.
• Collection of critical sidescan sonar data for algorithm refinement.
• Successful demonstration of AUV operational capabilities in a simulated setting.

Conclusions:

• Autonomous underwater vehicles offer significant potential for the efficient operation and management of seaweed farms.
• The developed system and methods provide a foundation for future advancements in marine aquaculture robotics.