AIMC Topic: Ecology

Clear Filters Showing 11 to 20 of 39 articles

Three-dimensional forest foodscape in large herbivores' habitat based on UAV with LiDAR detection.

Integrative zoology Oct 8, 2023
With the development of artificial intelligence, the integration of LiDAR technologies and foodscape theories to study wildlife habitat, nutritional ecology, species coexistence, and other existing hot and difficult issues would become an internation...
Artificial Intelligence Forests Ecology Herbivory Animals Ecosystem
View on PubMed DOI

Advances and applications of machine learning and deep learning in environmental ecology and health.

Environmental pollution (Barking, Essex : 1987) Aug 9, 2023
Machine learning (ML) and deep learning (DL) possess excellent advantages in data analysis (e.g., feature extraction, clustering, classification, regression, image recognition and prediction) and risk assessment and management in environmental ecolog...
Ecology Environmental Health Algorithms Deep Learning Machine Learning
View on PubMed DOI

Jumping over fences: why field- and laboratory-based biomechanical studies can and should learn from each other.

The Journal of experimental biology Apr 20, 2023
Locomotor biomechanics faces a core trade-off between laboratory-based and field-based studies. Laboratory conditions offer control over confounding factors, repeatability, and reduced technological challenges, but limit the diversity of animals and ...
Robotics Biomechanical Phenomena Biological Evolution Ecology Animals Locomotion Ecosystem
View on PubMed DOI

Machine learning models identify gene predictors of waggle dance behaviour in honeybees.

Molecular ecology resources Apr 18, 2022
The molecular characterization of complex behaviours is a challenging task as a range of different factors are often involved to produce the observed phenotype. An established approach is to look at the overall levels of expression of brain genes-or ...
Animals Ecology Bees Machine Learning Algorithms Linear Models Animal Communication
View on PubMed DOI

Perspectives in machine learning for wildlife conservation.

Nature communications Feb 9, 2022
Inexpensive and accessible sensors are accelerating data acquisition in animal ecology. These technologies hold great potential for large-scale ecological understanding, but are limited by current processing approaches which inefficiently distill dat...
Automation Conservation of Natural Resources Knowledge Models, Theoretical Ecology Machine Learning Ecosystem Animals, Wild Animals
View on PubMed DOI

A remote sensing derived data set of 100 million individual tree crowns for the National Ecological Observatory Network.

eLife Feb 19, 2021
Forests provide biodiversity, ecosystem, and economic services. Information on individual trees is important for understanding forest ecosystems but obtaining individual-level data at broad scales is challenging due to the costs and logistics of data...
Ecology United States Remote Sensing Technology Trees Deep Learning
View on PubMed DOI

Machine learning approaches identify male body size as the most accurate predictor of species richness.

BMC biology Aug 28, 2020
BACKGROUND: A major challenge in biodiversity science is to understand the factors contributing to the variability of species richness -the number of different species in a community or region - among comparable taxonomic lineages. Multiple biotic an...
Spiders Animals Male Ecology Body Size Biodiversity Machine Learning
View on PubMed DOI

Neural hierarchical models of ecological populations.

Ecology letters Jan 23, 2020
Neural networks are increasingly being used in science to infer hidden dynamics of natural systems from noisy observations, a task typically handled by hierarchical models in ecology. This article describes a class of hierarchical models parameterise...
Neural Networks, Computer Ecology
View on PubMed DOI

Machine learning with the hierarchy-of-hypotheses (HoH) approach discovers novel pattern in studies on biological invasions.

Research synthesis methods Aug 5, 2019
Research synthesis on simple yet general hypotheses and ideas is challenging in scientific disciplines studying highly context-dependent systems such as medical, social, and biological sciences. This study shows that machine learning, equation-free s...
Data Interpretation, Statistical Review Literature as Topic Ecology Asia Biology Ecosystem Machine Learning Models, Statistical Reproducibility of Results Geography Algorithms Decision Trees Animals Introduced Species Artificial Intelligence Research Design
View on PubMed DOI

Insights and approaches using deep learning to classify wildlife.

Scientific reports May 31, 2019
The implementation of intelligent software to identify and classify objects and individuals in visual fields is a technology of growing importance to operatives in many fields, including wildlife conservation and management. To non-experts, the metho...
Ecology Animals Algorithms Animals, Wild Computer Graphics Pattern Recognition, Automated Reproducibility of Results Cluster Analysis Africa Deep Learning Species Specificity Neural Networks, Computer Biodiversity Image Processing, Computer-Assisted Software
View on PubMed DOI
Popular Topics
Recent Journals