A Fishery Water Quality Monitoring and Prediction Evaluation System for Floating UAV Based on Time Series

Cheng, Lin; Tan, Xiyue; Yao, Dong; Xu, Wenxia; Wu, Huaiyu; Chen, Yang

doi:10.3390/s21134451

Cited by 25 publications

(11 citation statements)

References 40 publications

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“…Six-rotor UAV pH nitrogen sensor Open sea [185] AUV Tantan Conductivity, temperature, and depth (CD) sensors Open sea [198] Customized multirotor UAV Sensor nodes, water sampling cartridge Ponds, lakes [188] Customized multirotor UAV with hovercraft pH level sensor Lake [199] Ammonia nitrogen Six-rotor UAV Ammonia nitrogen sensor Open sea [185] Customized UAV Ammonia nitrogen sensor Lake [200] Nitrate Customized AUV "Dorado" Gulper water samples Bay and offshore water [201] Temperature UAV Tantan Conductivity, temperature, and depth (CD) sensors Open sea [198] DJI Octocopter UAV FLIR T450sc Thermal camera; Infrared camera Coastal water [202] Customized multirotor UAV Sensor nodes, water sampling cartridge Ponds, lakes [188] Chlorophyll-a UAV Tantan Conductivity, temperature, and depth (CD) sensors Open sea [198] Customized AUV "Dorado" Gulper water samples Bay and offshore water [201] Remo-M UAV Sequoia multispectral sensor with 4 cameras to capture spectral images (algae blooms)…”

Section: Rgb Cameramentioning

confidence: 99%

A Review of Unmanned System Technologies with Its Application to Aquaculture Farm Monitoring and Management

Ubina

Cheng

2022

Drones

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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.

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Section: Rgb Cameramentioning

confidence: 99%

A Review of Unmanned System Technologies with Its Application to Aquaculture Farm Monitoring and Management

Ubina

Cheng

2022

Drones

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“…Other UAV applications include: solar panel inspection [ 266 , 267 ]; power line and tower inspections [ 268 , 269 ]; water quality monitoring [ 270 ]; magnetic field mapping [ 271 ]; load transportation [ 272 , 273 ]; contact inspection tasks [ 274 ]; road safety and traffic monitoring [ 275 , 276 , 277 ]; aerial photography and cinematography [ 278 ]; entertainment and aerial shows [ 279 , 280 , 281 , 282 ]; firefighting [ 283 , 284 , 285 ].…”

Section: Research Challengesmentioning

confidence: 99%

Towards Fully Autonomous UAVs: A Survey

Elmokadem

Savkin

2021

Sensors

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Unmanned Aerial Vehicles have undergone rapid developments in recent decades. This has made them very popular for various military and civilian applications allowing us to reach places that were previously hard to reach in addition to saving time and lives. A highly desirable direction when developing unmanned aerial vehicles is towards achieving fully autonomous missions and performing their dedicated tasks with minimum human interaction. Thus, this paper provides a survey of some of the recent developments in the field of unmanned aerial vehicles related to safe autonomous navigation, which is a very critical component in the whole system. A great part of this paper focus on advanced methods capable of producing three-dimensional avoidance maneuvers and safe trajectories. Research challenges related to unmanned aerial vehicle development are also highlighted.

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“…With the rapid development of unmanned aerial vehicles (UAVs) technology, the past two decades have seen various applications of UAVs in many fields, e.g., infrastructure monitoring [1,2], safety inspection [3][4][5][6], delivery of healthcare [7], agricultural [8,9], archaeology [10][11][12][13], remote sensing [14][15][16][17][18][19], environmental quality monitoring [20][21][22][23], geological prospecting [24][25][26][27], and unexploded ordnance (UXO) detection [28][29][30][31][32]. The significant advance of UAV hardware design [33] and mission planning [34] makes it a platform for cross-industry applications [35].…”

Section: Introductionmentioning

confidence: 99%

Unmanned Aerial Vehicles for Magnetic Surveys: A Review on Platform Selection and Interference Suppression

Zheng

Xing

et al. 2021

Drones

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In the past two decades, unmanned aerial vehicles (UAVs) have been used in many scientific research fields for various applications. In particular, the use of UAVs for magnetic surveys has become a hot spot and is expected to be actively applied in the future. A considerable amount of literature has been published on the use of UAVs for magnetic surveys, however, how to choose the platform and reduce the interference of UAV to the collected data have not been discussed systematically. There are two primary aims of this study: (1) To ascertain the basis of UAV platform selection and (2) to investigate the characteristics and suppression methods of UAV magnetic interference. Systematic reviews were performed to summarize the results of 70 academic studies (from 2005 to 2021) and outline the research tendencies for applying UAVs in magnetic surveys. This study found that multi-rotor UAVs have become the most widely used type of UAVs in recent years because of their advantages such as easiness to operate, low cost, and the ability of flying at a very low altitude, despite their late appearance. With the improvement of the payload capacity of UAVs, to use multiple magnetometers becomes popular since it can provide more abundant information. In addition, this study also found that the most commonly used method to reduce the effects of the UAV’s magnetic interference is to increase the distance between the sensors and the UAV, although this method will bring about other problems, e.g., the directional and positional errors of sensors caused by erratic movements, the increased risk of impact to the magnetometers. The pros and cons of different types of UAV, magnetic interference characteristics and suppression methods based on traditional aeromagnetic compensation and other methods are discussed in detail. This study contributes to the classification of current UAV applications as well as the data processing methods in magnetic surveys.

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A Fishery Water Quality Monitoring and Prediction Evaluation System for Floating UAV Based on Time Series

Cited by 25 publications

References 40 publications

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

Towards Fully Autonomous UAVs: A Survey

Unmanned Aerial Vehicles for Magnetic Surveys: A Review on Platform Selection and Interference Suppression

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