Long-term monitoring in transition: Resolving spatial mismatch and integrating multistate occupancy data DOI Creative Commons
Matthew J. Weldy, Damon B. Lesmeister, Charles B. Yackulic

et al.

Ecological Indicators, Journal Year: 2022, Volume and Issue: 146, P. 109815 - 109815

Published: Dec. 29, 2022

The success of long-term wildlife monitoring programs can be influenced by many factors and study designs often represent compromises between spatial scales costs. Adaptive iteratively manage this tension adopting new cost-efficient technologies, which provide projects the opportunity to reallocate costs address hypotheses, adapt changing ecological conditions, or adjust sampling scale resolution. If there is interest in longer time series data, methodological transitions may necessitate integrated models link newer data with historical data. However, integration difficult if temporal are mismatched. Here, we develop an multistate site-occupancy model resolve sample unit mismatch datasets from two northern spotted owl (Strix occidentalis caurina) schemes that broadly overlapped during a transition. first dataset was obtained decades-long program using call-playback mark-resight surveys on territories varying size shape. This has recently transitioned passive acoustic randomly selected 5-km2 hexagons over larger extents. Both areas barred varia), invasive competitor played important role declines, were being removed experimentally. Reconciling substantially increased representation integrating precision use paired occupancy estimates relative single estimates. Estimates pair across area lower than previous territory-based based surveys. Our further showed concurrent removal experiment landscape site pairs owls. empirical application modelling approach demonstrates useful analytical framework for efforts undergoing (e.g. mark-recapture non-invasive population monitoring). allows maintain continuity objectives transitions, rigorously incorporate findings, adaptively respond conditions.

Language: Английский

A Comprehensive Review of Recent Research Trends on Unmanned Aerial Vehicles (UAVs) DOI Creative Commons
Khaled Telli, Okba Kraa, Yassine Himeur

et al.

Systems, Journal Year: 2023, Volume and Issue: 11(8), P. 400 - 400

Published: Aug. 2, 2023

The growing interest in unmanned aerial vehicles (UAVs) from both the scientific and industrial sectors has attracted a wave of new researchers substantial investments this expansive field. However, due to wide range topics subdomains within UAV research, newcomers may find themselves overwhelmed by numerous options available. It is therefore crucial for those involved research recognize its interdisciplinary nature connections with other disciplines. This paper presents comprehensive overview field, highlighting recent trends advancements. Drawing on literature reviews surveys, review begins classifying UAVs based their flight characteristics. then provides an current UAVs, utilizing data Scopus database quantify number documents associated each direction interconnections. also explores potential areas further development including communication, artificial intelligence, remote sensing, miniaturization, swarming cooperative control, transformability. Additionally, it discusses aircraft commonly used control techniques, appropriate algorithms research. Furthermore, addresses general hardware software architecture applications, key issues them. open source projects By presenting view aims enhance our understanding rapidly evolving highly area

Language: Английский

Citations

130
A Comparative Study on Application of Unmanned Aerial Vehicle Systems in Agriculture DOI Creative Commons
Mohammad Fatin Fatihur Rahman, Shurui Fan, Yan Zhang

et al.

Agriculture, Journal Year: 2021, Volume and Issue: 11(1), P. 22 - 22

Published: Jan. 1, 2021

Presently in agriculture, there is much ample scope for drone and UAS (Unmanned Aircraft System) development. Because of their low cost small size, these devices have the ability to help many developing countries with economic prosperity. The entire aggregation financial investments agricultural area has increased appreciably recent years. Sooth say, agriculture remains a massive part world’s commercial growth, due some complications, fields withstand losses. Pets destructive insects seem be primary reasons certain degenerative diseases. It minimizes potential productivity crops. For increasing quality plants, fertilizers pesticides are appropriately applied. Using UAVs Aerial Vehicles) spraying fertilizing materials an exuberant contraption. adequately reduces rate health dilemma number workers, which quite impressive landmark. Willing producers also adopting soil field analysis, seed sowing, lessen time costs correlated crop scouting, mapping. rapid, it can sensibly diminish farmer’s workload, significantly revolution. This article aims proportionally represent concept purposed UAV clear neophytes. First, this paper outlines harmonic framework UAV, then abundantly illustrates methods materials. Finally, portrays outcome.

Language: Английский

Citations

111
Computing in the Sky: A Survey on Intelligent Ubiquitous Computing for UAV-Assisted 6G Networks and Industry 4.0/5.0 DOI Creative Commons
Saeed Hamood Alsamhi, Alexey V. Shvetsov, Santosh Kumar

et al.

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

Citations

93
Eyes in the Sky: Drones Applications in the Built Environment under Climate Change Challenges DOI Creative Commons

Norhan Bayomi,

John Fernández

Drones, Journal Year: 2023, Volume and Issue: 7(10), P. 637 - 637

Published: Oct. 16, 2023

This paper reviews the diverse applications of drone technologies in built environment and their role climate change research. Drones, or unmanned aerial vehicles (UAVs), have emerged as valuable tools for environmental scientists, offering new possibilities data collection, monitoring, analysis urban environment. The begins by providing an overview different types drones used environment, including quadcopters, fixed-wing drones, hybrid models. It explores capabilities features, such high-resolution cameras, LiDAR sensors, thermal imaging, which enable detailed acquisition studying impacts areas. then examines specific contribution to These include mapping heat islands, assessing energy efficiency buildings, monitoring air quality, identifying sources greenhouse gas emissions. UAVs researchers collect spatially temporally rich data, allowing a trends patterns. Furthermore, discusses integrating with artificial intelligence (AI) derive insights develop predictive models mitigation adaptation environments. Finally, addresses technologies’ challenges future directions encompass regulatory frameworks, privacy concerns, management, need interdisciplinary collaboration. By harnessing potential scientists can enhance understanding areas contribute developing sustainable strategies resilient cities.

Language: Английский

Citations

48
UAV-Enabled Mobile Edge-Computing for IoT Based on AI: A Comprehensive Review DOI Creative Commons
Yassine Yazid, Imad Ez‐zazi, Antonio Guerrero González

et al.

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

Citations

99
Moving towards improved surveillance and earlier diagnosis of aquatic pathogens: From traditional methods to emerging technologies DOI
Scott MacAulay, Amy Ellison, Peter Kille

et al.

Reviews in Aquaculture, Journal Year: 2022, Volume and Issue: 14(4), P. 1813 - 1829

Published: March 19, 2022

Abstract Early and accurate diagnosis is key to mitigating the impact of infectious diseases, along with efficient surveillance. This however particularly challenging in aquatic environments due hidden biodiversity physical constraints. Traditional diagnostics, such as visual histopathology, are still widely used, but increasingly technological advances portable next generation sequencing (NGS) artificial intelligence (AI) being tested for early diagnosis. The most straightforward methodologies, based on diagnosis, rely specialist knowledge experience provide a foundation Future computational remote sensing methods, AI image drone surveillance, will ultimately reduce labour costs whilst not compromising sensitivity, they require capital infrastructural investment. Molecular techniques have advanced rapidly last 30 years, from standard PCR through loop‐mediated isothermal amplification (LAMP) NGS approaches, providing range technologies that support currently popular eDNA There now vast potential transformative change driven by developments human diagnostics. Here we compare current surveillance diagnostic those could be used or developed use environment, against three gold ideals high specificity, rapid cost‐effectiveness.

Language: Английский

Citations

50
Digital Twins and Control Theory: A Critical Review on Revolutionizing Quadrotor UAVs DOI Creative Commons
Ghulam E Mustafa Abro, Ayman M. Abdallah

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 43291 - 43307

Published: Jan. 1, 2024

This work explores the crucial roles that control theory and digital twins play in enhancing performance of underactuated quadrotor unmanned aerial vehicles (QUAVs). It describes how novel idea combined with could alter operations. Some basic ideas, such as UAV model, various schemes, innovative techniques to improve autonomy QUAV missions dynamic circumstances, may also be interest readers. highlights recent developments presents a game-changing combining twin computer vision, amalgamating artificial intelligence internet things like elements sensing perception better for autonomous flight control, human-UAV interaction, energy-efficient flight, swarming UAVs. The reader finally find suggestions applying understandings incorporating technology boost its revolutionary potential.

Language: Английский

Citations

9
An approach for the automated extraction of road surface distress from a UAV-derived point cloud DOI
Serkan Biçici, Mustafa Zeybek

Automation in Construction, Journal Year: 2020, Volume and Issue: 122, P. 103475 - 103475

Published: Nov. 29, 2020

Language: Английский

Citations

64
An efficient multi-objective ant colony optimization for task allocation of heterogeneous unmanned aerial vehicles DOI
Lizhi Chen, Weili Liu, Jinghui Zhong

et al.

Journal of Computational Science, Journal Year: 2021, Volume and Issue: 58, P. 101545 - 101545

Published: Dec. 30, 2021

Language: Английский

Citations

44
Teaching Innovation in STEM Education Using an Unmanned Aerial Vehicle (UAV) DOI Creative Commons

Madeleine M. Bolick,

Elena A. Mikhailova,

Christopher J. Post

et al.

Education Sciences, Journal Year: 2022, Volume and Issue: 12(3), P. 224 - 224

Published: March 18, 2022

The use of unmanned aerial vehicles (UAVs) has increased in the science, technology, engineering, and mathematics (STEM) professions. This means there is a growing need to integrate UAV training into STEM education. study aimed develop evaluate education module laboratory exercise for natural resource science students. used series reusable learning objects (RLOs) assess students’ prior knowledge remote sensing UAVs. Students were taught steps data acquisition processing through lectures simulation videos. applied this by completing that previously collected data. Student retention understanding evaluated using an online quiz determine effectiveness module. average score was 92%, indicating effectively students about research. Overall, expressed positive opinions feedback indicated engaging, but some would have preferred hands-on experience parts exercise. However, in-person instruction may not be accessible all educators because cost or lack instructor training. provides with crucial recommendations designing exercises improve access UAV-related educational content. indicates can introduce Given wide range uses across fields, many disciplines benefit from

Language: Английский

Citations

32