Skip navigation
  • 中文
  • English

DSpace CRIS

  • DSpace logo
  • Home
  • Research Outputs
  • Researchers
  • Organizations
  • Projects
  • Explore by
    • Research Outputs
    • Researchers
    • Organizations
    • Projects
  • Communities & Collections
  • SDGs
  • Sign in
  • 中文
  • English
  1. National Taiwan Ocean University Research Hub
  2. 電機資訊學院
  3. 資訊工程學系
Please use this identifier to cite or link to this item: http://scholars.ntou.edu.tw/handle/123456789/21367
Title: 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
Authors: Ubina, Naomi A.
Cheng, Shyi-Chyi 
Ubina, Naomi A.
Cheng, Shyi-Chyi 
Keywords: 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
Issue Date: Jan-2022
Publisher: MDPI
MDPI
Journal Volume: 6
6
Journal Issue: 1
1
Start page/Pages: 1-41
Source: DRONES
DRONES-BASEL
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.

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
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

Show full item record

WEB OF SCIENCETM
Citations

13
Last Week
0
Last month
checked on May 7, 2023

Page view(s)

442
Last Week
1
Last month
2
checked on Jun 30, 2025

Google ScholarTM

Check

Altmetric

Altmetric

Related Items in TAIR


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Explore by
  • Communities & Collections
  • Research Outputs
  • Researchers
  • Organizations
  • Projects
Build with DSpace-CRIS - Extension maintained and optimized by Logo 4SCIENCE Feedback