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請用此 Handle URI 來引用此文件: http://scholars.ntou.edu.tw/handle/123456789/21367
標題: A Review of Unmanned System Technologies with Its Application to Aquaculture Farm Monitoring and Management
A Review of Unmanned System Technologies with Its Application to Aquaculture Farm Monitoring and Management
作者: Ubina, Naomi A.
Cheng, Shyi-Chyi 
Ubina, Naomi A.
Cheng, Shyi-Chyi 
關鍵字: drone technology;aquaculture;precision aquaculture;aquaculture monitoring;aquaculture drones;internet of things;AUTONOMOUS UNDERWATER VEHICLES;AERIAL VEHICLES;FOOD SECURITY;PRECISION AGRICULTURE;COMPUTER VISION;DATA-COLLECTION;FLOW VELOCITY;FISH;DRONE;CAMERA
公開日期: 一月-2022
出版社: MDPI
MDPI
卷: 6
6
期: 1
1
起(迄)頁: 1-41
來源出版物: DRONES
DRONES-BASEL
摘要: 
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.

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.
URI: http://scholars.ntou.edu.tw/handle/123456789/21367
ISSN: 2504-446X
DOI: 10.3390/drones6010012
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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