AIMC Topic: Introduced Species

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Explainable few-shot learning workflow for detecting invasive and exotic tree species.

Scientific reports Jul 2, 2025
Deep Learning methods are notorious for relying on extensive labeled datasets to train and assess their performance. This can cause difficulties in practical situations where models should be trained for new applications for which very little data is...
Algorithms Brazil Deep Learning Neural Networks, Computer Trees Introduced Species Unmanned Aerial Devices Workflow Forests
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MAVSD: A Multi-Angle View Segmentation Dataset for Detection of Solidago Canadensis L.

Scientific data May 24, 2025
Recent advancements in computer vision and deep learning have advanced automated vegetation monitoring, creating new opportunities for invasive species management. To this end, we introduce MAVSD (Multi-Angle View Segmentation Dataset), specifically ...
Solidago Deep Learning Introduced Species Unmanned Aerial Devices Environmental Monitoring
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Machine learning-based habitat mapping of the invasive Prosopis juliflora in Sharjah, UAE.

Environmental monitoring and assessment Mar 20, 2025
Prosopis juliflora, one of the most invasive trees, adversely affects the ecosystem and native plant communities in arid lands. This disrupts biodiversity and depletes water resources, posing significant ecological and economic challenges. Several at...
Prosopis United Arab Emirates Introduced Species Ecosystem Environmental Monitoring Machine Learning
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Forecasting invasive mosquito abundance in the Basque Country, Spain using machine learning techniques.

Parasites & vectors Mar 15, 2025
BACKGROUND: Mosquito-borne diseases cause millions of deaths each year and are increasingly spreading from tropical and subtropical regions into temperate zones, posing significant public health risks. In the Basque Country region of Spain, changing ...
Machine Learning Forecasting Weather Seasons Climate Temperature Animals Introduced Species Aedes Mosquito Vectors Spain Dengue
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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...
Genetics, Population Introduced Species United States Sus scrofa Polymorphism, Single Nucleotide Genotype Neural Networks, Computer Animals Swine Animals, Wild Ecosystem
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The implementation of robotic dogs in automatic detection and surveillance of red imported fire ant nests.

Pest management science Jul 1, 2024
BACKGROUND: The Red Imported Fire Ant (RIFA), scientifically known as Solenopsis invicta, is a destructive invasive species causing considerable harm to ecosystems and generating substantial economic costs globally. Traditional methods for RIFA nests...
Animals Robotics Artificial Intelligence Introduced Species Insect Control Ants Fire Ants Nesting Behavior
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Detection and recognition of the invasive species, Hylurgus ligniperda, in traps, based on a cascaded convolution neural network.

Pest management science May 27, 2024
BACKGROUND: Hylurgus ligniperda, an invasive species originating from Eurasia, is now a major forestry quarantine pest worldwide. In recent years, it has caused significant damage in China. While traps have been effective in monitoring and controllin...
Introduced Species Insect Control China Insecta Neural Networks, Computer Animals
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Assessment of American Bullfrog (Lithobates catesbeianus) spreading in the Republic of Korea using rule learning of elementary cellular automata.

Scientific reports May 21, 2024
The spread of American Bullfrog has a significant impact on the surrounding ecosystem. It is important to study the mechanisms of their spreading so that proper mitigation can be applied when needed. This study analyzes data from national surveys on ...
Neural Networks, Computer Ecosystem Republic of Korea Introduced Species Animals Rana catesbeiana
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VespAI: a deep learning-based system for the detection of invasive hornets.

Communications biology Apr 3, 2024
The invasive hornet Vespa velutina nigrithorax is a rapidly proliferating threat to pollinators in Europe and East Asia. To effectively limit its spread, colonies must be detected and destroyed early in the invasion curve, however the current relianc...
Asia, Eastern Introduced Species Deep Learning Wasps Animals Europe
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Deep learning-based image classification of turtles imported into Korea.

Scientific reports Dec 7, 2023
Although turtles play a key role in maintaining healthy and balanced environments, these are endangered due to global trade to meet the high demand for food, medicine, and pets in Asia. In addition, imported non-native turtles have been controlled as...
Turtles Introduced Species Ecosystem Republic of Korea Animals Deep Learning
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