Flapping about: trends and drivers of Australian cownose ray (Rhinoptera neglecta) coastal sightings at their southernmost distribution range DOI Creative Commons
Alysha J. Chan, Fabrice R. A. Jaine,

Francisca Maron

et al.

Frontiers in Fish Science, Journal Year: 2024, Volume and Issue: 1

Published: Jan. 11, 2024

The Australian cownose ray ( Rhinoptera neglecta ) is an understudied batoid that occurs along Australia's north and east coasts. Currently classified as Data Deficient on the IUCN Red List of Threatened Species, major knowledge gaps exist regarding species' geographic range, habitat use drivers influencing its presence in coastal waters. Sightings R. were collected during systematic aerial surveys conducted 980 km (~47%) New South Wales (NSW) coastline between 2017 2019. North-bound flown 500 m offshore, whilst return beach/sea interface (inshore or nearshore). Using generalized additive models a set nine predictors, we examined relationship spatio-temporal occurrence , their group size biophysical environment at southernmost extent distribution. Results for presence/absence (44.20% deviance explained) observed offshore inshore (42.58 41.94% explained, respectively) highlighted latitude, day year, sea surface temperature, rainfall, wind speed, direction common influences to three models. indicated more likely be present northern half NSW spring summer months. However, larger sizes southern regions same seasons, regardless whether they inshore. Group also influenced by localized conditions, such SST tidal flows. This study represents largest attempt date decipher spatial ecology provides insights into distribution relative abundance species full coastline, extending known over 70 southward.

Language: Английский

Diving into the vertical dimension of elasmobranch movement ecology DOI Creative Commons
Samantha Andrzejaczek, Tim Lucas, Maurice C. Goodman

et al.

Science Advances, Journal Year: 2022, Volume and Issue: 8(33)

Published: Aug. 19, 2022

Knowledge of the three-dimensional movement patterns elasmobranchs is vital to understand their ecological roles and exposure anthropogenic pressures. To date, comparative studies among species at global scales have mostly focused on horizontal movements. Our study addresses knowledge gap vertical movements by compiling first synthesis habitat use from data obtained deployment 989 biotelemetry tags 38 elasmobranch species. Elasmobranchs displayed high intra- interspecific variability in patterns. Substantial overlap was observed for many epipelagic elasmobranchs, indicating an increased likelihood display spatial overlap, biologically interact, share similar risk threats that vary a gradient. We highlight critical next steps toward incorporating into management monitoring strategies emphasizing need address geographic taxonomic biases deployments concurrently consider both

Language: Английский

Citations

99
Livestock Management With Unmanned Aerial Vehicles: A Review DOI Creative Commons

Mohammed Ateeq Alanezi,

Mohammad Shoaib Shahriar, Md. Bakhtiar Hasan

et al.

IEEE Access, Journal Year: 2022, Volume and Issue: 10, P. 45001 - 45028

Published: Jan. 1, 2022

The ease of use and advancements in drone technology is resulting the widespread application Unmanned Aerial Vehicles (UAVs) to diverse fields, making it a booming technology. Among UAVs' several applications, livestock agriculture one most promising, where UAVs facilitate various operations for efficient animal management. But field characterized by multiple environmental, technical, economic, strategic challenges. However, advanced technological techniques like Artificial Intelligence (AI), Internet Things (IoT), Machine Learning (ML), Deep (DL), sensors, etc., along with assurance welfare while operating UAVs, can lead adoption amongst farmers. This paper discusses management research monitor farm animals via detection, counting, tracking animals, etc. In this article, an attempt has been made elucidate different aspects broader issues around highlighting associated challenges, opportunities, prospects. work first review on subject matter all necessary information analysis, best our knowledge. Therefore, article promises provide interested researchers detailed about field, guiding future research.

Language: Английский

Citations

58
Fishermen's attitudes towards drone use for sustainable fishing in a coastal community in Kerala, India: An exploratory qualitative study DOI Creative Commons
Isaac Lukambagire,

T Agrah,

J. Sophie von Lieres

et al.

Sustainable Futures, Journal Year: 2024, Volume and Issue: 7, P. 100225 - 100225

Published: June 1, 2024

Fishing is crucial to livelihoods and development. However, unsustainable practices shocks threaten this potential, which worsened by limited research on technologies such as drones enhance sustainable fishing. Our study used an exploratory qualitative approach involving 48 fishermen in Alappad Kerala. The findings revealed that use either or traditional practices. Due increasing familiarity with new technologies, have positive attitudes toward drone use. Using these narratives, we ideated the characteristics of feasible drone(s) for localized success adoption/use dependent fishermen's attitudes.

Language: Английский

Citations

9
How Big Is That Manta Ray? A Novel and Non-Invasive Method for Measuring Reef Manta Rays Using Small Drones DOI Creative Commons
Edy Setyawan, Ben C. Stevenson,

Muhamad Izuan

et al.

Drones, Journal Year: 2022, Volume and Issue: 6(3), P. 63 - 63

Published: Feb. 28, 2022

This study explores the application of small, commercially available drones to determine morphometric measurements and record key demographic parameters reef manta rays (Mobula alfredi) in Raja Ampat, Indonesia. DJI Mavic 2 Pro were used obtain videos surface-feeding M. alfredi with a floating, known-length PVC pipe as reference scale—thus avoiding need utilize altitude readings, which are known be unreliable small drones, our photogrammetry approach. Three dimensions (disc length (DL), disc width (DW), cranial (CW)) from 86 different individuals measured. A hierarchical multivariate model was estimate true these three their population-level distributions. The estimated highly accurate precise, measurement CW more than that DL and, especially, DW. Each pairing exhibited strong linear relationships, correlation coefficients ranging 0.98–0.99. Given these, allows us accurately calculate DW (as standard measure body size for mobulid rays) using measurements. We smallest mature each sex we measured 274.8 cm (males, n = 30) 323.5 (females, 8). conclude useful providing an “snapshot” distribution aggregations determining maturity larger individuals, all minimal impact on this vulnerable species.

Language: Английский

Citations

25
The Future of Artificial Intelligence in Monitoring Animal Identification, Health, and Behaviour DOI Creative Commons
Jenna V. Congdon,

Mina Hosseini,

Ezekiel F. Gading

et al.

Animals, Journal Year: 2022, Volume and Issue: 12(13), P. 1711 - 1711

Published: July 1, 2022

With many advancements, technologies are now capable of recording non-human animals' location, heart rate, and movement, often using a device that is physically attached to the monitored animals. However, our knowledge, there currently no technology able do this unobtrusively non-invasively. Here, we review history for use with animals, recent technological current limitations, brief introduction proposed novel software. Canadian tech mogul EAIGLE Inc. has developed an artificial intelligence (AI) software solution determining where people assets within public places or attractions operational intelligence, security, health safety applications. The also monitors individual temperatures reduce potential spread COVID-19. This been adapted at Toronto Zoo, initiated focus on Sumatran orangutans (Pongo abelii) given close physical similarity between humans as great ape species. will be mass data collection, identification, pose estimation, behaviour monitoring tracking orangutans' locations, in real time 24/7 basis, benefitting both zookeepers researchers looking information.

Language: Английский

Citations

24
Closing the air gap: the use of drones for studying wildlife ecophysiology DOI Creative Commons
Adam Yaney‐Keller, Rebecca R. McIntosh, Rohan H. Clarke

et al.

Biological reviews/Biological reviews of the Cambridge Philosophical Society, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 17, 2025

ABSTRACT Techniques for non‐invasive sampling of ecophysiological data in wild animals have been developed response to challenges associated with studying captive or using invasive methods. Of these, drones, also known as Unoccupied Aerial Vehicles (UAVs), and their sensors, emerged a promising tool the ecophysiology toolkit. In this review, we synthesise research scoping review on use drones wildlife PRISMA‐SCr checklist identify where efforts focused knowledge gaps remain. We these results explore current best practices provide recommendations future use. 136 studies published since 2010, aided animal body condition morphometrics, kinematics biomechanics, bioenergetics, health (e.g. microbiomes, endocrinology, disease) both aquatic terrestrial environments. Focal taxa are biased towards marine mammals, particularly cetaceans. While conducted globally, is primarily led by institutions based North America, Oceania, Europe. The obtain morphometric through standard colour sensors single camera photogrammetry predominates. such video tracking thermal imaging allowed insights into other aspects ecophysiology, when combined external techniques biologgers. most used commercially available multirotor platforms modification collect samples, integration techniques, multidisciplinary integrate suite remote sensing methods more fully. outline how technological advances will play key role delivery novel improved data. recommend that researchers prepare influx drone‐assisted advancements cross‐institutional collaborations. describe diversify across species environments sources technologies comprehensive results.

Language: Английский

Citations

0
An empirical study of automatic wildlife detection using drone-derived imagery and object detection DOI

Tan Phu Vuong,

Miao Chang,

Manas Palaparthi

et al.

Multimedia Tools and Applications, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 15, 2025

Language: Английский

Citations

0
Drones in Geography Higher Education Curriculum: Where Are We? DOI
Grayson R. Morgan, Adam J. Mathews

The Professional Geographer, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 12

Published: March 3, 2025

Language: Английский

Citations

0
Enhancing marine wildlife observations: the application of tethered balloon systems and advanced imaging sensors for sustainable marine energy development DOI Creative Commons
Alicia Amerson,

Darielle Dexheimer

Marine Biology, Journal Year: 2025, Volume and Issue: 172(5)

Published: April 3, 2025

Language: Английский

Citations

0
SeeCucumbers: Using Deep Learning and Drone Imagery to Detect Sea Cucumbers on Coral Reef Flats DOI Creative Commons
Joan Y. Q. Li, Stephanie Duce, Karen E. Joyce

et al.

Drones, Journal Year: 2021, Volume and Issue: 5(2), P. 28 - 28

Published: April 16, 2021

Sea cucumbers (Holothuroidea or holothurians) are a valuable fishery and also crucial nutrient recyclers, bioturbation agents, hosts for many biotic associates. Their ecological impacts could be substantial given their high abundance in some reef locations thus monitoring populations spatial distribution is of research interest. Traditional situ surveys laborious only cover small areas but drones offer an opportunity to scale observations more broadly, especially if the holothurians can automatically detected drone imagery using deep learning algorithms. We adapted object detection algorithm YOLOv3 detect from at Hideaway Bay, Queensland, Australia. successfully 11,462 12,956 individuals over 2.7ha with average density 0.5 individual/m2. tested range hyperparameters determine optimal detector performance achieved 0.855 mAP, 0.82 precision, 0.83 recall, F1 score. found as few ten labelled images was sufficient train acceptable model (0.799 mAP). Our results illustrate potential small, affordable direct implementation open-source models survey other shallow water sessile species.

Language: Английский

Citations

24