Related Publication

DOI: 10.3389/fmars.2023.1187771

Citation Style: APA

Citation Text:

Schmid, M. S., Daprano, D., Damle, M. M., Sullivan, C. M., Sponaugle, S., Cousin, C., Guigand, C., & Cowen, R. K. (2023). Edge computing at sea: high-throughput classification of in-situ plankton imagery for adaptive sampling. Frontiers in Marine Science, 10. https://doi.org/10.3389/fmars.2023.1187771

Datasets (1)

Dataset	Relation
Environmental sensor data from an underwater imaging system (ISIIS-3) collected during R/V Langseth cruise MGL2207 July 20-28 2022 and R/V Sally Ride cruise SR2317 August 10-20 2023 in the Northern California Current	Methods

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Related Publication

DOI: 10.3389/fmars.2023.1187771

Citation Style: APA

Citation Text:

Datasets (1)

Dataset	Relation
Environmental sensor data from an underwater imaging system (ISIIS-3) collected during R/V Langseth cruise MGL2207 July 20-28 2022 and R/V Sally Ride cruise SR2317 August 10-20 2023 in the Northern California Current	Methods