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Full-Text Articles in Aquaculture and Fisheries

Automated Detection Of Deep-Sea Animals, Dallas J. Hollis, Duane Edgington, Danelle Cline Jul 2016

Automated Detection Of Deep-Sea Animals, Dallas J. Hollis, Duane Edgington, Danelle Cline

STAR (STEM Teacher and Researcher) Presentations

The Monterey Bay Aquarium Research Institute routinely deploys remotely operated underwater vehicles equipped with high definition cameras for use in scientific studies. Utilizing a video collection of over 22,000 hours and the Video Annotation and Reference System, we have set out to automate the detection and classification of deep-sea animals. This paper serves to explore the pitfalls of automation and suggest possible solutions to automated detection in diverse ecosystems with varying field conditions. Detection was tested using a saliency-based neuromorphic selective attention algorithm. The animals that were not detected were then used to tune saliency parameters. Once objects are ...


Growth Rate Of Copepods In The San Francisco Bay, Brooke Bemowski, Wim Kimmerer, Toni Ignoffo Jan 2016

Growth Rate Of Copepods In The San Francisco Bay, Brooke Bemowski, Wim Kimmerer, Toni Ignoffo

STAR (STEM Teacher and Researcher) Presentations

The San Francisco Estuary is a complex ecosystem. A key part of the foodweb are zooplankton crustaceans, specifically copepods. Many fish, especially the endangered delta smelt, rely on copepods as a food source. Measuring the growth of copepods assists in predictions if enough food is available for delta smelt. Traditionally growth rate is measured through lengthy and involved processes. The objective of this research project is to develop an imaging process to analyze biomass of copepods more efficiently. For this research, field samples of copepods were collected and grown over three days. Subsamples were taken and preserved at three predetermined ...