Sensors (Jul 2022)

A System for Autonomous Seaweed Farm Inspection with an Underwater Robot

  • Ivan Stenius,
  • John Folkesson,
  • Sriharsha Bhat,
  • Christopher Iliffe Sprague,
  • Li Ling,
  • Özer Özkahraman,
  • Nils Bore,
  • Zheng Cong,
  • Josefine Severholt,
  • Carl Ljung,
  • Anna Arnwald,
  • Ignacio Torroba,
  • Fredrik Gröndahl,
  • Jean-Baptiste Thomas

DOI
https://doi.org/10.3390/s22135064
Journal volume & issue
Vol. 22, no. 13
p. 5064

Abstract

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This paper outlines challenges and opportunities in operating underwater robots (so-called AUVs) on a seaweed farm. The need is driven by an emerging aquaculture industry on the Swedish west coast where large-scale seaweed farms are being developed. In this paper, the operational challenges are described and key technologies in using autonomous systems as a core part of the operation are developed and demonstrated. The paper presents a system and methods for operating an AUV in the seaweed farm, including initial localization of the farm based on a prior estimate and dead-reckoning navigation, and the subsequent scanning of the entire farm. Critical data from sidescan sonars for algorithm development are collected from real environments at a test site in the ocean, and the results are demonstrated in a simulated seaweed farm setup.

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