Til hovedinnhold

Advancing Ocean Observation with an AI-driven Mobile Robotic Explorer

Advancing Ocean Observation with an AI-driven Mobile Robotic Explorer

Kategori
Vitenskapelig artikkel
Sammendrag
Rapid assessment and enhanced knowledge of plankton communities and their structure in the productive upper water column is of crucial importance to understand the impact of the changing climate on upper ocean processes. Enabling persistent and systematic observation by coupling the ongoing revolution in robotics and automation with artificial intelligence methods will improve accuracy of predictions, reduce measurement uncertainty and accelerate methodological sampling. Further, progress in real-time robotic visual sensing and machine learning have enabled high-resolution space-time imaging, analysis and interpretation. We describe a novel mobile robotic tool for characterizing upper water-column biota, enabling intelligent onboard sampling to target specific mesoplankton taxa. Such a tool will accelerate the time consuming process in asking ``who is there'' and aid the advancement of oceanographic observation.
Oppdragsgiver
  • Research Council of Norway (RCN) / 262741
Språk
Engelsk
Forfatter(e)
  • Aya Saad
  • Annette Stahl
  • Andreas Våge
  • Emlyn John Davies
  • Tor Nordam
  • Nicole Aberle-Malzahn
  • Martin Ludvigsen
  • Geir Johnsen
  • João Sousa
  • Kanna Rajan
Institusjon(er)
  • Norges teknisk-naturvitenskapelige universitet
  • SINTEF Ocean / Miljø og nye ressurser
  • Universidade do Porto
År
2020
Publisert i
Oceanography
ISSN
1042-8275