Turtles and Tortoises Are in Trouble

Current Biology, Journal Year: 2020, Volume and Issue: 30(12), P. R721 - R735

Published: June 1, 2020

Language: Английский

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Drones for Conservation in Protected Areas: Present and Future

Drones, Journal Year: 2019, Volume and Issue: 3(1), P. 10 - 10

Published: Jan. 9, 2019

Park managers call for cost-effective and innovative solutions to handle a wide variety of environmental problems that threaten biodiversity in protected areas. Recently, drones have been called upon revolutionize conservation hold great potential evolve raise better-informed decisions assist management. Despite expectations, the benefits could bring foster effectiveness remain fundamentally unexplored. To address this gap, we performed literature review about use conservation. We selected total 256 studies, which 99 were carried out classified studies five distinct areas applications: “wildlife monitoring management”; “ecosystem monitoring”; “law enforcement”; “ecotourism”; “environmental management disaster response”. also identified specific gaps challenges would allow expansion critical research or monitoring. Our results support evidence merits serve actions reinforce effective management, but multidisciplinary must resolve operational analytical shortcomings undermine prospects integration

Language: Английский

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Applications of Unmanned Aerial Vehicles in Mining from Exploration to Reclamation: A Review

Minerals, Journal Year: 2020, Volume and Issue: 10(8), P. 663 - 663

Published: July 26, 2020

Over the past decade, unmanned aerial vehicles (UAVs) have been used in mining industry for various applications from mineral exploration to mine reclamation. This study aims review academic papers on of UAVs by classifying process into three phases: exploration, exploitation, and Systematic reviews were performed summarize results 65 articles (June 2010 May 2020) outline research trend applying mining. found that are at sites geological structural analysis via remote sensing, geophysical survey, topographic surveying, rock slope analysis, working environment underground monitoring soil, water, ecological restoration, ground subsidence. contributes classification current UAV during as well identification prevalent types, data acquired sensors, scales targeted areas, styles flying control

Language: Английский

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Computing in the Sky: A Survey on Intelligent Ubiquitous Computing for UAV-Assisted 6G Networks and Industry 4.0/5.0

Drones, Journal Year: 2022, Volume and Issue: 6(7), P. 177 - 177

Published: July 18, 2022

Unmanned Aerial Vehicles (UAVs) are increasingly being used in a high-computation paradigm enabled with smart applications the Beyond Fifth Generation (B5G) wireless communication networks. These networks have an avenue for generating considerable amount of heterogeneous data by expanding number Internet Things (IoT) devices environments. However, storing and processing massive limited computational capability energy availability at local nodes IoT network has been significant difficulty, mainly when deploying Artificial Intelligence (AI) techniques to extract discriminatory information from different tasks.Therefore, Mobile Edge Computing (MEC) evolved as promising computing leveraged efficient technology improve quality services edge performance better than cloud networks, addressing challenging problems latency computation-intensive offloading UAV-assisted framework. This paper provides comprehensive review intelligent UAV enable 6G over We highlight utility critical role Federated Learning (FL) meeting challenges related energy, security, task offloading, present reader insight into computing, advantages, applications, that can provide helpful guidance future research.

Language: Английский

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Unoccupied Aircraft Systems in Marine Science and Conservation

Annual Review of Marine Science, Journal Year: 2018, Volume and Issue: 11(1), P. 439 - 463

Published: July 18, 2018

The use of unoccupied aircraft systems (UASs, also known as drones) in science is growing rapidly. Recent advances microelectronics and battery technology have resulted the rapid development low-cost UASs that are transforming many industries. Drones poised to revolutionize marine conservation, they provide essentially on-demand remote sensing capabilities at low cost with reduced human risk. A variety multirotor, fixed-wing, transitional UAS platforms capable carrying various optical physical sampling payloads being employed almost every subdiscipline conservation. This article provides an overview sensors used conservation missions along example physical, biological, natural resource management applications typical analytical workflows. It concludes details on potential effects wildlife a look future

Language: Английский

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Drone Up! Quantifying Whale Behavior From a New Perspective Improves Observational Capacity

Frontiers in Marine Science, Journal Year: 2018, Volume and Issue: 5

Published: Sept. 10, 2018

From our traditional boat-based horizontal perspective, marine megafauna behavioral observations are typically limited to animal surfacings. Achieving an aerial perspective has been restricted brief helicopter or airplane based that costly, noisy and risky. The emergence of commercial small unmanned systems (UAS) significantly reduced these constraints, provide a stable, relatively quiet inexpensive platform enables replicate for prolonged periods with minimal disturbance. potential UAS observation appears immense, yet quantitative methods video analysis proof utility as observational tool required. We use footage gray whales foraging in coastal waters Oregon, USA develop methods, assess impacts caused by UAS, determine the change time enabled describe unique behaviors observed via UAS. Boat-based from 53 whale sightings between May October 2016 were compared data extracted flights during those sightings. used DJI Phantom 3 Pro 4 Advanced, recorded altitude ≥25m, detected no response Two experienced ethologists conducted analysis, including tabulation behavior states events, surface visible (total was underwater). provided three times more capacity than alone (300 vs. 103 minutes). When is accounted for, greater all primary (travel, forage, social, rest) relative data, especially which increased times. Furthermore, enable documentation multiple novel tactics (e.g., headstands: n=58; side-swimming: n=17; jaw snapping flexing: n= 10) 33 social events (nursing, pair coordinated surfacings) not identified field. This study demonstrates significant added value ecological studies. With technological advances, robust designs, effective analytical tools, we foresee applications studies elucidate strategies, habitat associations, patterns, human

Language: Английский

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A convolutional neural network for detecting sea turtles in drone imagery

Methods in Ecology and Evolution, Journal Year: 2018, Volume and Issue: 10(3), P. 345 - 355

Published: Dec. 14, 2018

Abstract Marine megafauna are difficult to observe and count because many species travel widely spend large amounts of time submerged. As such, management programmes seeking conserve these often hampered by limited information about population levels. Unoccupied aircraft systems (UAS, aka drones) provide a potentially useful technique for assessing marine animal populations, but central challenge lies in analysing the vast data generated images or video acquired during each flight. Neural networks emerging as powerful tool automating object detection across domains can be applied UAS imagery generate new population‐level insights. To explore utility technologies challenging field setting, we used neural enumerate olive ridley turtles Lepidochelys olivacea drone mass‐nesting event on coast Ostional, Costa Rica. Results revealed substantial promise this approach; specifically, our model detected 8% more than manual counts while effectively reducing validation burden from 2,971,554 44,822 image windows. Our pipeline was trained relatively small set turtle examples ( N = 944), implying that method easily bootstrapped other applications, is practical with real‐world datasets. findings highlight feasibility combining estimate levels diverse animals suggest automation inherent techniques will soon permit monitoring over spatial temporal scales would previously have been impractical.

Language: Английский

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UAV-Enabled Mobile Edge-Computing for IoT Based on AI: A Comprehensive Review

Drones, Journal Year: 2021, Volume and Issue: 5(4), P. 148 - 148

Published: Dec. 13, 2021

Unmanned aerial vehicles (UAVs) are becoming integrated into a wide range of modern IoT applications. The growing number networked devices generates large amount data. However, processing and memorizing this massive volume data at local nodes have been deemed critical challenges, especially when using artificial intelligence (AI) systems to extract exploit valuable information. In context, mobile edge computing (MEC) has emerged as way bring cloud (CC) processes within reach users, address computation-intensive offloading latency issues. This paper provides comprehensive review the most relevant research works related UAV technology applications in terms enabled or assisted MEC architectures. It details utility UAV-enabled architecture regarding emerging role both deep learning (DL) machine (ML) meeting various limitations latency, task offloading, energy demand, security. Furthermore, throughout article, reader gains an insight future MEC, advantages challenges be tackled AI.

Language: Английский

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Drones for research on sea turtles and other marine vertebrates – A review

Biological Conservation, Journal Year: 2019, Volume and Issue: 238, P. 108214 - 108214

Published: Sept. 5, 2019

Language: Английский

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Measuring behavioral responses of sea turtles, saltwater crocodiles, and crested terns to drone disturbance to define ethical operating thresholds

PLoS ONE, Journal Year: 2018, Volume and Issue: 13(3), P. e0194460 - e0194460

Published: March 21, 2018

Drones are being increasingly used in innovative ways to enhance environmental research and conservation. Despite their widespread use for wildlife studies, there few scientifically justified guidelines that provide minimum distances at which can be approached minimize visual auditory disturbance. These essential ensure behavioral survey data have no observer bias form the basis of requirements animal ethics scientific permit approvals. In present study, we documented behaviors three species sea turtle (green turtles, Chelonia mydas, flatback Natator depressus, hawksbill Eretmochelys imbricata), saltwater crocodiles (Crocodylus porosus), crested terns (Thalasseus bergii) response a small commercially available (1.4 kg) multirotor drone flown Northern Territory Western Australia. Sea turtles nearshore waters off nesting beaches or foraging habitats exhibited evasive (e.g. rapid diving) above 20-30 m altitude, 10 altitude juvenile green on shallow, algae-covered reefs. Adult female were not deterred by drones flying forward stationary when crawling up beach nest digging body pit egg chamber. contrast, flyovers elicited range from crocodiles, including minor, lateral head movements, fleeing, complete submergence was below 50 altitude. Similarly, colony resting sand-bank displayed disturbance flight response) 60 The current study demonstrates variety thresholds diverse should considered establishing operating conditions conservation studies.

Language: Английский

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