Photos in collage by Åsa Strand and Kristina Svedberg.
The hurdles facing the oyster industry in Scandinavia are mainly related to the occurrence of multiple oyster species in the sea (of which only one is desired for production) and the need for suitable collectors for small scale, emerging industries. AquaVitae aims to help the industry tackle these hurdles. In this Low Trophic Life webinar, you will get an insight into how two young Swedes have:
– Evaluated different collector deployment strategies and substrates to obtain a higher degree of the targeted oyster species;
– Used artificial intelligence to classify oyster species.
Mariela Johansson Vingård is studying for a Master’s degree in marine sciences, with emphasis on biology, at the University of Gothenburg. She is currently writing her thesis, which looks at how different depths, substrates and distances to European flat oyster (Ostrea edulis) broodstock affects the settlement of European flat oysters and the invasive pacific oysters (Magallana gigas).
Jens Wilhelmsson is an engineer at IVL working with digitalization in a wide range of applications. His work involves sensor development, data processing, computer vision, and other data-related activities. He likes to apply modern machine learning/AI methods to new fields, where oyster classification is one example.