AIMC Topic: Animals, Wild
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Combining Human Computing and Machine Learning to Make Sense of Big (Aerial) Data for Disaster Response.
Big data
Feb 26, 2016
Aerial imagery captured via unmanned aerial vehicles (UAVs) is playing an increasingly important role in disaster response. Unlike satellite imagery, aerial imagery can be captured and processed within hours rather than days. In addition, the spatial...
Unmanned Aerial Vehicles (UAVs) and Artificial Intelligence Revolutionizing Wildlife Monitoring and Conservation.
Sensors (Basel, Switzerland)
Jan 14, 2016
Surveying threatened and invasive species to obtain accurate population estimates is an important but challenging task that requires a considerable investment in time and resources. Estimates using existing ground-based monitoring techniques, such as...
Characterization of fecal vancomycin-resistant enterococci with acquired and intrinsic resistance mechanisms in wild animals, Spain.
Microbial ecology
Jul 21, 2015
The objectives were to evaluate the presence of vancomycin-resistant enterococci with acquired (VRE-a) and intrinsic (VRE-i) resistance mechanisms in fecal samples from different wild animals, and analyze their phenotypes and genotypes of antimicrobi...
Vancomycin-Resistant Enterococci
Multilocus Sequence Typing
Spain
Aminoglycosides
Sus scrofa
Animals, Wild
Falconiformes
Bacterial Proteins
Animals
Ampicillin Resistance
Microbial Sensitivity Tests
Galliformes
Ampicillin
Drug Resistance, Multiple, Bacterial
Carbon-Oxygen Ligases
Tetracycline
Vancomycin
Feces
Tetracycline Resistance
Enterococcus faecium
Addressing significant challenges for animal detection in camera trap images: a novel deep learning-based approach.
Scientific reports
May 9, 2025
Wildlife biologists increasingly use camera traps for monitoring animal populations. However, manually sifting through the collected images is expensive and time-consuming. Current deep learning studies for camera trap images do not adequately tackle...
Exploring community knowledge, perceptions, and the impacts of anthrax among farming communities living in game management areas in Zambia: A qualitative study using a hybrid approach.
PLoS neglected tropical diseases
May 1, 2025
Anthrax remains a neglected zoonotic disease of critical public and animal health significance in Zambia, particularly in regions with active human-wildlife-livestock interfaces such as the Western, Southern and Eastern provinces of Zambia. This stud...
Aerial Wildlife Image Repository for animal monitoring with drones in the age of artificial intelligence.
Database : the journal of biological databases and curation
Jul 23, 2024
Drones (unoccupied aircraft systems) have become effective tools for wildlife monitoring and conservation. Automated animal detection and classification using artificial intelligence (AI) can substantially reduce logistical and financial costs and im...
Deep learning to extract the meteorological by-catch of wildlife cameras.
Global change biology
Jan 1, 2024
Microclimate-proximal climatic variation at scales of metres and minutes-can exacerbate or mitigate the impacts of climate change on biodiversity. However, most microclimate studies are temperature centric, and do not consider meteorological factors ...
A novel reassortant avian influenza H4N6 virus isolated from an environmental sample during a surveillance in Maharashtra, India.
The Indian journal of medical research
Jun 1, 2021
BACKGROUND & OBJECTIVES: Low pathogenic avian influenza (LPAI) viruses cause mild clinical illness in domestic birds. Migratory birds are a known reservoir for all subtypes of avian influenza (AI) viruses. The objective of the study was to characteri...
Counting penguins with drones.
Science robotics
Oct 28, 2020
A multidrone path-planning algorithm enables drones to scout Adélie penguin colonies in Antarctica.
Multidrone aerial surveys of penguin colonies in Antarctica.
Science robotics
Oct 28, 2020
Speed is essential in wildlife surveys due to the dynamic movement of animals throughout their environment and potentially extreme changes in weather. In this work, we present a multirobot path-planning method for conducting aerial surveys over large...
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