AIMC Topic: Biodiversity

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New deep learning-based methods for visualizing ecosystem properties using environmental DNA metabarcoding data.

Molecular ecology resources Sep 13, 2023
Environmental DNA (eDNA) metabarcoding provides an efficient approach for documenting biodiversity patterns in marine and terrestrial ecosystems. The complexity of these data prevents current methods from extracting and analyzing all the relevant eco...
DNA, Environmental DNA Barcoding, Taxonomic Ecosystem Deep Learning Environmental Monitoring Biodiversity
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NEAL: an open-source tool for audio annotation.

PeerJ Aug 25, 2023
Passive acoustic monitoring is used widely in ecology, biodiversity, and conservation studies. Data sets collected via acoustic monitoring are often extremely large and built to be processed automatically using artificial intelligence and machine lea...
Artificial Intelligence Drugs, Generic Biodiversity Algorithms Acoustics
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Deep learning enables satellite-based monitoring of large populations of terrestrial mammals across heterogeneous landscape.

Nature communications May 27, 2023
New satellite remote sensing and machine learning techniques offer untapped possibilities to monitor global biodiversity with unprecedented speed and precision. These efficiencies promise to reveal novel ecological insights at spatial scales which ar...
Ecosystem Deep Learning Animals Remote Sensing Technology Biodiversity Mammals
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Estimating resistance surfaces using gradient forest and allelic frequencies.

Molecular ecology resources Mar 10, 2023
Understanding landscape connectivity has become a global priority for mitigating the impact of landscape fragmentation on biodiversity. Connectivity methods that use link-based methods traditionally rely on relating pairwise genetic distance between ...
Computer Simulation Gene Frequency Genetics, Population Biodiversity Genetic Variation
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A Fine-Grained Recognition Neural Network with High-Order Feature Maps via Graph-Based Embedding for Natural Bird Diversity Conservation.

International journal of environmental research and public health Mar 10, 2023
The conservation of avian diversity plays a critical role in maintaining ecological balance and ecosystem function, as well as having a profound impact on human survival and livelihood. With species' continuous and rapid decline, information and inte...
Birds Biodiversity Animals Conservation of Natural Resources Neural Networks, Computer
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Drone-assisted collection of environmental DNA from tree branches for biodiversity monitoring.

Science robotics Jan 18, 2023
The protection and restoration of the biosphere is crucial for human resilience and well-being, but the scarcity of data on the status and distribution of biodiversity puts these efforts at risk. DNA released into the environment by organisms, i.e., ...
Trees DNA, Environmental Unmanned Aerial Devices Robotics Humans Animals Biodiversity
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Towards the fully automated monitoring of ecological communities.

Ecology letters Oct 20, 2022
High-resolution monitoring is fundamental to understand ecosystems dynamics in an era of global change and biodiversity declines. While real-time and automated monitoring of abiotic components has been possible for some time, monitoring biotic compon...
Artificial Intelligence Ecosystem Biodiversity Biota
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Understanding External Influences on Target Detection and Classification Using Camera Trap Images and Machine Learning.

Sensors (Basel, Switzerland) Jul 19, 2022
Using machine learning (ML) to automate camera trap (CT) image processing is advantageous for time-sensitive applications. However, little is currently known about the factors influencing such processing. Here, we evaluate the influence of occlusion,...
Animals Humans Image Processing, Computer-Assisted Machine Learning Animals, Wild Biodiversity
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The Impact of Data Augmentations on Deep Learning-Based Marine Object Classification in Benthic Image Transects.

Sensors (Basel, Switzerland) Jul 19, 2022
Data augmentation is an established technique in computer vision to foster the generalization of training and to deal with low data volume. Most data augmentation and computer vision research are focused on everyday images such as traffic data. The a...
Biodiversity Deep Learning Humans Image Processing, Computer-Assisted Ecosystem Algorithms
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Revealing the real-time diversity and abundance of small mammals by using an Intelligent Animal Monitoring System (IAMS).

Integrative zoology Jun 24, 2022
It is challenging to reveal the real-time spatio-temporal change of diversity and abundance of animals in natural systems by using traditional methods. The rapid advancement of new technologies such as the Internet of Things, artificial intelligence,...
Biodiversity Forests Artificial Intelligence Animals Mammals China
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