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Examining the Frontier of Autonomous Underwater Vehicle Image Analysis for Sea Scallop Incidental Mortality.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Examining the Frontier of Autonomous Underwater Vehicle Image Analysis for Sea Scallop Incidental Mortality./
Author:	Tipton, Hunter.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
Description:	77 p.
Notes:	Source: Masters Abstracts International, Volume: 83-05.
Contained By:	Masters Abstracts International83-05.
Subject:	Biological oceanography. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28713309
ISBN:	9798460487059

Examining the Frontier of Autonomous Underwater Vehicle Image Analysis for Sea Scallop Incidental Mortality.
Tipton, Hunter.

Examining the Frontier of Autonomous Underwater Vehicle Image Analysis for Sea Scallop Incidental Mortality. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 77 p.

Source: Masters Abstracts International, Volume: 83-05.

Thesis (M.S.)--University of Delaware, 2021.

This item must not be sold to any third party vendors.

Historically, the Atlantic sea scallop (Placopecten magellanicus) fishery in the United States has undergone vast changes in management to combat stock volatility and fishing pressure. Today the American sea scallop stock has stabilized and is successfully managed via fishery independent surveys and stock assessment models. One of the factors affecting the stock assessment model for this fishery is incidental fishing mortality, or those individual scallops that experience mortality because of fishing effort but are not retained for use by the fishery. Recent studies sought to enumerate sea scallop incidental mortality on various seabed types. However, most of the scallops examined in these studies were inhabiting sandy bottoms more generally known as soft substrate. This study utilized 38,813 underwater images collected via Autonomous Underwater Vehicle (AUV) and a modified Multiple Before After Control Impact (MBACI) experimental design to examine incidental mortality on gravel and rock, or hard substrates within Closed Area I just north of the great south channel. Of the 31,972 scallops measured from these images 73% were annotated as lying on hard substrate and the highest measured value of incidental mortality was 6.70%. This result suggests that stock assessment values for incidental mortality remain conservative for hard substrate management areas. The results of this study also suggest that both sediment and sea scallop distributions may be more variable than previously understood within the spatial domain of a study site.

ISBN: 9798460487059Subjects--Topical Terms:

2122748
Biological oceanography.
Subjects--Index Terms:

Atlantic sea scallop

Examining the Frontier of Autonomous Underwater Vehicle Image Analysis for Sea Scallop Incidental Mortality.
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245 1 0 $a Examining the Frontier of Autonomous Underwater Vehicle Image Analysis for Sea Scallop Incidental Mortality.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2021
300 $a 77 p.
500 $a Source: Masters Abstracts International, Volume: 83-05.
500 $a Advisor: Trembanis, Arthur.
502 $a Thesis (M.S.)--University of Delaware, 2021.
506 $a This item must not be sold to any third party vendors.
520 $a Historically, the Atlantic sea scallop (Placopecten magellanicus) fishery in the United States has undergone vast changes in management to combat stock volatility and fishing pressure. Today the American sea scallop stock has stabilized and is successfully managed via fishery independent surveys and stock assessment models. One of the factors affecting the stock assessment model for this fishery is incidental fishing mortality, or those individual scallops that experience mortality because of fishing effort but are not retained for use by the fishery. Recent studies sought to enumerate sea scallop incidental mortality on various seabed types. However, most of the scallops examined in these studies were inhabiting sandy bottoms more generally known as soft substrate. This study utilized 38,813 underwater images collected via Autonomous Underwater Vehicle (AUV) and a modified Multiple Before After Control Impact (MBACI) experimental design to examine incidental mortality on gravel and rock, or hard substrates within Closed Area I just north of the great south channel. Of the 31,972 scallops measured from these images 73% were annotated as lying on hard substrate and the highest measured value of incidental mortality was 6.70%. This result suggests that stock assessment values for incidental mortality remain conservative for hard substrate management areas. The results of this study also suggest that both sediment and sea scallop distributions may be more variable than previously understood within the spatial domain of a study site.
590 $a School code: 0060.
650 4 $a Biological oceanography. $3 2122748
650 4 $a Computer science. $3 523869
650 4 $a Wildlife management. $3 571816
653 $a Atlantic sea scallop
653 $a Autonomous underwater Vehicle
653 $a Deep learning
653 $a Image analysis
653 $a Multiple bore after control impact
690 $a 0416
690 $a 0984
690 $a 0286
710 2 $a University of Delaware. $b Marine Studies. $3 1270038
773 0 $t Masters Abstracts International $g 83-05.
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791 $a M.S.
792 $a 2021
793 $a English
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