Results 1 to 10 of about 4,676,977 (154)
Using integrated wildlife monitoring to prevent future pandemics through one health approach [PDF]
One Health, 2023 In the One Health context, Integrated Wildlife Monitoring (IWM) merges wildlife health monitoring (WHM) and host community monitoring to early detect emerging infections, record changes in disease dynamics, and assess the impact of interventions in ...
J J Ceron
exaly +3 more sources
Drones and AI-Driven Solutions for Wildlife Monitoring
DronesWildlife monitoring has entered a transformative era with the convergence of drone technology and artificial intelligence (AI). Drones provide access to remote and dangerous habitats, while AI unlocks the potential to process vast amounts of wildlife ...
Nourdine Aliane
doaj +4 more sources
A multi-species evaluation of digital wildlife monitoring using the Sigfox IoT network. [PDF]
Anim Biotelemetry, 2023 Bio-telemetry from small tags attached to animals is one of the principal methods for studying the ecology and behaviour of wildlife. The field has constantly evolved over the last 80 years as technological improvement enabled a diversity of sensors to ...
Wild TA +22 more
europepmc +2 more sources
COVID restrictions impact wildlife monitoring in Australia. [PDF]
Biol Conserv, 2022 The global COVID-19 pandemic has imposed restrictions on people's movement, work and access to places at multiple international, national and sub-national scales.
Stenhouse A +5 more
europepmc +2 more sources
SOCRATES: Introducing Depth in Visual Wildlife Monitoring Using Stereo Vision. [PDF]
Sensors (Basel), 2022 The development and application of modern technology are an essential basis for the efficient monitoring of species in natural habitats to assess the change of ecosystems, species communities and populations, and in order to understand important drivers ...
Haucke T, Kühl HS, Steinhage V.
europepmc +3 more sources
Sustainability, 2023 Artificial intelligence (AI) has become a significantly growing field in the environmental sector due to its ability to solve problems, make decisions, and recognize patterns.
Kazuhiko Sato
exaly +2 more sources
Conservation Science and Practice, 2021 Wildlife monitoring is essential for conservation science and data‐driven decision‐making. Tropical forests pose a particularly challenging environment for monitoring wildlife due to the dense vegetation, and diverse and cryptic species with relatively ...
Tom Bruce +2 more
exaly +2 more sources
Applying genomic data in wildlife monitoring: Development guidelines for genotyping degraded samples with reduced single nucleotide polymorphism panels. [PDF]
Mol Ecol Resour, 2020 The genomic era has led to an unprecedented increase in the availability of genome‐wide data for a broad range of taxa. Wildlife management strives to make use of these vast resources to enable refined genetic assessments that enhance biodiversity ...
von Thaden A +17 more
europepmc +2 more sources
Wildlife Monitoring Using a Multi-UAV System with Optimal Transport Theory
Applied Sciences (Switzerland), 2021 This paper addresses a wildlife monitoring problem using a team of unmanned aerial vehicles (UAVs) with the optimal transport theory. The state-of-the-art technology using UAVs has been an increasingly popular tool to monitor wildlife compared to the ...
Kooktae Lee, Rabiul Hasan Kabir
exaly +2 more sources
Precision wildlife monitoring using unmanned aerial vehicles. [PDF]
Sci Rep, 2016 Unmanned aerial vehicles (UAVs) represent a new frontier in environmental research. Their use has the potential to revolutionise the field if they prove capable of improving data quality or the ease with which data are collected beyond traditional ...
Hodgson JC +4 more
europepmc +2 more sources