Toward adaptive robotic sampling of phytoplankton in the coastal ocean-Reference-Cited by-同舟云学术

Toward adaptive robotic sampling of phytoplankton in the coastal ocean

Published:2019-02-20 Issue:27 Volume:4 Page:
ISSN:2470-9476
Container-title:Science Robotics
language:en
Short-container-title:Sci. Robot.

Author:

Fossum Trygve O.¹²,Fragoso Glaucia M.³^ORCID,Davies Emlyn J.⁴^ORCID,Ullgren Jenny E.⁵^ORCID,Mendes Renato⁶⁷⁸^ORCID,Johnsen Geir²³⁹^ORCID,Ellingsen Ingrid⁴^ORCID,Eidsvik Jo¹⁰,Ludvigsen Martin¹²⁹^ORCID,Rajan Kanna²⁶¹¹^ORCID

Affiliation:

1. Department of Marine Technology, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.

2. Centre for Autonomous Marine Operations and Systems (AMOS), Trondheim, Norway.

3. Department of Biology, NTNU, Trondheim, Norway.

4. SINTEF Ocean AS, Trondheim, Norway.

5. Runde Environmental Centre, Runde, Norway.

6. Underwater Systems and Technology Laboratory, Faculty of Engineering, University of Porto, Porto, Portugal.

7. CIIMAR, University of Porto, Porto, Portugal.

8. CESAM, Department of Physics, University of Aveiro, Aveiro, Portugal.

9. University Centre in Svalbard (UNIS), Longyearbyen, Norway.

10. Department of Mathematical Sciences, NTNU, Trondheim, Norway.

11. Department of Engineering Cybernetics, NTNU, Trondheim, Norway.

Abstract

Gaussian process models embedded on an AUV enabled autonomous tracking and mapping of phytoplankton biomass in three dimensions.

Funder

Centre for autonomous marine operations and systems

Research Council of Norway - ENTiCE

Research Council of Norway - Nansen Legacy Program

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Mechanical Engineering

Reference65 articles.

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3. Turbulence drives microscale patches of motile phytoplankton

4. Phytoplankton patchiness: the role of lateral stirring and mixing

5. Dynamics regulating major trends in Barents Sea temperatures and subsequent effect on remotely sensed particulate inorganic carbon

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