http://scholars.ntou.edu.tw/handle/123456789/21367
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Ubina, Naomi A. | - |
dc.contributor.author | Cheng, Shyi-Chyi | - |
dc.contributor.author | Ubina, Naomi A. | en_US |
dc.contributor.author | Cheng, Shyi-Chyi | en_US |
dc.date.accessioned | 2022-04-11T00:32:06Z | - |
dc.date.available | 2022-04-11T00:32:06Z | - |
dc.date.issued | 2022-01 | - |
dc.identifier.issn | 2504-446X | - |
dc.identifier.uri | http://scholars.ntou.edu.tw/handle/123456789/21367 | - |
dc.description.abstract | This 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.abstract | This 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.iso | English | - |
dc.language.iso | en_US | en_US |
dc.publisher | MDPI | - |
dc.publisher | MDPI | en_US |
dc.relation.ispartof | DRONES | - |
dc.relation.ispartof | DRONES-BASEL | en_US |
dc.subject | drone technology | - |
dc.subject | aquaculture | - |
dc.subject | precision aquaculture | - |
dc.subject | aquaculture monitoring | - |
dc.subject | aquaculture drones | - |
dc.subject | internet of things | - |
dc.subject | AUTONOMOUS UNDERWATER VEHICLES | en_US |
dc.subject | AERIAL VEHICLES | en_US |
dc.subject | FOOD SECURITY | en_US |
dc.subject | PRECISION AGRICULTURE | en_US |
dc.subject | COMPUTER VISION | en_US |
dc.subject | DATA-COLLECTION | en_US |
dc.subject | FLOW VELOCITY | en_US |
dc.subject | FISH | en_US |
dc.subject | DRONE | en_US |
dc.subject | CAMERA | en_US |
dc.title | A Review of Unmanned System Technologies with Its Application to Aquaculture Farm Monitoring and Management | - |
dc.title | A Review of Unmanned System Technologies with Its Application to Aquaculture Farm Monitoring and Management | en_US |
dc.type | journal article | - |
dc.type | journal article | en_US |
dc.identifier.doi | 10.3390/drones6010012 | - |
dc.identifier.isi | WOS:000757121000001 | - |
dc.relation.journalvolume | 6 | - |
dc.relation.journalvolume | 6 | en_US |
dc.relation.journalissue | 1 | - |
dc.relation.journalissue | 1 | en_US |
dc.relation.pages | 1-41 | - |
item.cerifentitytype | Publications | - |
item.cerifentitytype | Publications | - |
item.openairetype | journal article | - |
item.openairetype | journal article | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.fulltext | no fulltext | - |
item.grantfulltext | none | - |
item.languageiso639-1 | English | - |
item.languageiso639-1 | en_US | - |
crisitem.author.dept | College of Electrical Engineering and Computer Science | - |
crisitem.author.dept | Department of Computer Science and Engineering | - |
crisitem.author.dept | National Taiwan Ocean University,NTOU | - |
crisitem.author.dept | College of Electrical Engineering and Computer Science | - |
crisitem.author.dept | Department of Computer Science and Engineering | - |
crisitem.author.dept | National Taiwan Ocean University,NTOU | - |
crisitem.author.parentorg | National Taiwan Ocean University,NTOU | - |
crisitem.author.parentorg | College of Electrical Engineering and Computer Science | - |
crisitem.author.parentorg | National Taiwan Ocean University,NTOU | - |
crisitem.author.parentorg | College of Electrical Engineering and Computer Science | - |
顯示於: | 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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