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  1. National Taiwan Ocean University Research Hub
  2. 電機資訊學院
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Please use this identifier to cite or link to this item: http://scholars.ntou.edu.tw/handle/123456789/21367
DC FieldValueLanguage
dc.contributor.authorUbina, Naomi A.-
dc.contributor.authorCheng, Shyi-Chyi-
dc.contributor.authorUbina, Naomi A.en_US
dc.contributor.authorCheng, Shyi-Chyien_US
dc.date.accessioned2022-04-11T00:32:06Z-
dc.date.available2022-04-11T00:32:06Z-
dc.date.issued2022-01-
dc.identifier.issn2504-446X-
dc.identifier.urihttp://scholars.ntou.edu.tw/handle/123456789/21367-
dc.description.abstractThis paper aims to provide an overview of the capabilities of unmanned systems to monitor and manage aquaculture farms that support precision aquaculture using the Internet of Things. The locations of aquaculture farms are diverse, which is a big challenge on accessibility. For offshore fish cages, there is a difficulty and risk in the continuous monitoring considering the presence of waves, water currents, and other underwater environmental factors. Aquaculture farm management and surveillance operations require collecting data on water quality, water pollutants, water temperature, fish behavior, and current/wave velocity, which requires tremendous labor cost, and effort. Unmanned vehicle technologies provide greater efficiency and accuracy to execute these functions. They are even capable of cage detection and illegal fishing surveillance when equipped with sensors and other technologies. Additionally, to provide a more large-scale scope, this document explores the capacity of unmanned vehicles as a communication gateway to facilitate offshore cages equipped with robust, low-cost sensors capable of underwater and in-air wireless connectivity. The capabilities of existing commercial systems, the Internet of Things, and artificial intelligence combined with drones are also presented to provide a precise aquaculture framework.-
dc.description.abstractThis paper aims to provide an overview of the capabilities of unmanned systems to monitor and manage aquaculture farms that support precision aquaculture using the Internet of Things. The locations of aquaculture farms are diverse, which is a big challenge on accessibility. For offshore fish cages, there is a difficulty and risk in the continuous monitoring considering the presence of waves, water currents, and other underwater environmental factors. Aquaculture farm management and surveillance operations require collecting data on water quality, water pollutants, water temperature, fish behavior, and current/wave velocity, which requires tremendous labor cost, and effort. Unmanned vehicle technologies provide greater efficiency and accuracy to execute these functions. They are even capable of cage detection and illegal fishing surveillance when equipped with sensors and other technologies. Additionally, to provide a more large-scale scope, this document explores the capacity of unmanned vehicles as a communication gateway to facilitate offshore cages equipped with robust, low-cost sensors capable of underwater and in-air wireless connectivity. The capabilities of existing commercial systems, the Internet of Things, and artificial intelligence combined with drones are also presented to provide a precise aquaculture framework.en_US
dc.language.isoEnglish-
dc.language.isoen_USen_US
dc.publisherMDPI-
dc.publisherMDPIen_US
dc.relation.ispartofDRONES-
dc.relation.ispartofDRONES-BASELen_US
dc.subjectdrone technology-
dc.subjectaquaculture-
dc.subjectprecision aquaculture-
dc.subjectaquaculture monitoring-
dc.subjectaquaculture drones-
dc.subjectinternet of things-
dc.subjectAUTONOMOUS UNDERWATER VEHICLESen_US
dc.subjectAERIAL VEHICLESen_US
dc.subjectFOOD SECURITYen_US
dc.subjectPRECISION AGRICULTUREen_US
dc.subjectCOMPUTER VISIONen_US
dc.subjectDATA-COLLECTIONen_US
dc.subjectFLOW VELOCITYen_US
dc.subjectFISHen_US
dc.subjectDRONEen_US
dc.subjectCAMERAen_US
dc.titleA Review of Unmanned System Technologies with Its Application to Aquaculture Farm Monitoring and Management-
dc.titleA Review of Unmanned System Technologies with Its Application to Aquaculture Farm Monitoring and Managementen_US
dc.typejournal article-
dc.typejournal articleen_US
dc.identifier.doi10.3390/drones6010012-
dc.identifier.isiWOS:000757121000001-
dc.relation.journalvolume6-
dc.relation.journalvolume6en_US
dc.relation.journalissue1-
dc.relation.journalissue1en_US
dc.relation.pages1-41-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.cerifentitytypePublications-
item.cerifentitytypePublications-
item.languageiso639-1English-
item.languageiso639-1en_US-
item.fulltextno fulltext-
item.grantfulltextnone-
item.openairetypejournal article-
item.openairetypejournal article-
crisitem.author.deptCollege of Electrical Engineering and Computer Science-
crisitem.author.deptDepartment of Computer Science and Engineering-
crisitem.author.deptNational Taiwan Ocean University,NTOU-
crisitem.author.deptCollege of Electrical Engineering and Computer Science-
crisitem.author.deptDepartment of Computer Science and Engineering-
crisitem.author.deptNational Taiwan Ocean University,NTOU-
crisitem.author.parentorgNational Taiwan Ocean University,NTOU-
crisitem.author.parentorgCollege of Electrical Engineering and Computer Science-
crisitem.author.parentorgNational Taiwan Ocean University,NTOU-
crisitem.author.parentorgCollege of Electrical Engineering and Computer Science-
Appears in Collections:02 ZERO HUNGER
06 CLEAN WATER & SANITATION
資訊工程學系
11 SUSTAINABLE CITIES & COMMUNITIES
14 LIFE BELOW WATER
15 LIFE ON LAND
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