AIMC Topic: Animals, Wild

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Hierarchical image classification using transfer learning to improve deep learning model performance for amazon parrots.

Scientific reports Jan 30, 2025
Numerous studies have proven the potential of deep learning models for classifying wildlife. Such models can reduce the workload of experts by automating species classification to monitor wild populations and global trade. Although deep learning mode...
Amazona Animals Parrots Animals, Wild Image Processing, Computer-Assisted Endangered Species Deep Learning
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A framework for assessing reliability of observer annotations of aerial wildlife imagery, with insights for deep learning applications.

PloS one Jan 15, 2025
There is growing interest in using deep learning models to automate wildlife detection in aerial imaging surveys to increase efficiency, but human-generated annotations remain necessary for model training. However, even skilled observers may diverge ...
Humans Reproducibility of Results Animals Image Processing, Computer-Assisted New Mexico Animals, Wild Ducks Deep Learning Birds
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To save wildlife from fences, scientists turn to AI.

Science (New York, N.Y.) Aug 22, 2024
The research uses aerial imagery to pinpoint structures that could block migratory pronghorn and other wildlife.
Conservation of Natural Resources Animal Migration Ruminants Animals Animals, Wild Artificial Intelligence
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Characterizing feral swine movement across the contiguous United States using neural networks and genetic data.

Molecular ecology Aug 15, 2024
Globalization has led to the frequent movement of species out of their native habitat. Some of these species become highly invasive and capable of profoundly altering invaded ecosystems. Feral swine (Sus scrofa × domesticus) are recognized as being a...
United States Sus scrofa Genetics, Population Polymorphism, Single Nucleotide Genotype Introduced Species Neural Networks, Computer Animals Swine Ecosystem Animals, Wild
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Early warning of trends in commercial wildlife trade through novel machine-learning analysis of patent filing.

Nature communications Aug 1, 2024
Unsustainable wildlife trade imperils thousands of species, but efforts to identify and reduce these threats are hampered by rapidly evolving commercial markets. Businesses trading wildlife-derived products innovate to remain competitive, and the pat...
Animals Animals, Wild Conservation of Natural Resources Machine Learning Ursidae Perissodactyla Wildlife Trade Commerce Patents as Topic
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Prevalence of Avian Influenza Virus in Atypical Wild Birds Host Groups during an Outbreak of Highly Pathogenic Strain EA/AM H5N1.

Transboundary and emerging diseases Jul 29, 2024
The global outbreak of highly pathogenic avian influenza (HPAI) H5N1 Eurasian lineage goose/Guangdong clade 2.3.4.4b virus that was detected in North America in 2021 is the largest in history and has significantly impacted wild bird populations and d...
Influenza A Virus, H5N1 Subtype Influenza in Birds Animals Indiana Prevalence Disease Outbreaks Birds Animals, Wild
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Automatic wild bird repellent system that is based on deep-learning-based wild bird detection and integrated with a laser rotation mechanism.

Scientific reports Jul 10, 2024
Wild bird repulsion is critical in agriculture because it helps avoid agricultural food losses and mitigates the risk of avian influenza. Wild birds transmit avian influenza in poultry farms and thus cause large economic losses. In this study, we dev...
Deep Learning Taiwan Animals, Wild Animals Influenza in Birds Ducks Lasers Birds
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Predicting chronic wasting disease in white-tailed deer at the county scale using machine learning.

Scientific reports Jun 22, 2024
Continued spread of chronic wasting disease (CWD) through wild cervid herds negatively impacts populations, erodes wildlife conservation, drains resource dollars, and challenges wildlife management agencies. Risk factors for CWD have been investigate...
Machine Learning Animals Incidence United States Animals, Wild Deer Wasting Disease, Chronic
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Phylogenetic and Molecular Characteristics of Wild Bird-Origin Avian Influenza Viruses Circulating in Poland in 2018-2022: Reassortment, Multiple Introductions, and Wild Bird-Poultry Epidemiological Links.

Transboundary and emerging diseases Apr 12, 2024
Since 2020, a significant increase in the severity of H5N highly pathogenic avian influenza (HPAI) epidemics in poultry and wild birds has been observed in Poland. To further investigate the genetic diversity of HPAI H5N viruses of clade 2.3.4.4b, HP...
Poultry Poland Phylogeny Poultry Diseases Birds Influenza A virus Animals Animals, Wild Influenza in Birds Reassortant Viruses
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Deep learning workflow to support in-flight processing of digital aerial imagery for wildlife population surveys.

PloS one Apr 3, 2024
Deep learning shows promise for automating detection and classification of wildlife from digital aerial imagery to support cost-efficient remote sensing solutions for wildlife population monitoring. To support in-flight orthorectification and machine...
Deep Learning Remote Sensing Technology Workflow Birds Neural Networks, Computer Animals, Wild Animals
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