AIMC Topic: Biodiversity
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Efficient estimation of plant species diversity in desert regions using UAV-based quadrats and advanced machine learning techniques.
Journal of environmental management
Jun 1, 2025
Understanding the distribution of plant species diversity(PSD) along spatial and environmental gradients is essential for implementing effective conservation strategies. However, effective monitoring of large-scale PSD in desert regions remain challe...
Robotic monitoring of European habitats: a labeled dataset for plant detection in Annex I habitats of Italy.
Scientific data
May 20, 2025
The present data descriptor presents a dataset designed for the detection of plant species in various habitats of the European Union. This dataset is based on images captured using multiple different hardware including quadrupedal robot ANYmal C, ref...
Global intraspecific diversity of marine forests of brown macroalgae predicted by past climate conditions.
Communications biology
May 10, 2025
Global patterns of intraspecific genetic diversity are key to understanding evolutionary and ecological processes. However, insights into the distribution and drivers of genetic diversity remain limited, particularly for marine species. Here, we expl...
BioEncoder: A metric learning toolkit for comparative organismal biology.
Ecology letters
Aug 1, 2024
In the realm of biological image analysis, deep learning (DL) has become a core toolkit, for example for segmentation and classification. However, conventional DL methods are challenged by large biodiversity datasets characterized by unbalanced class...
Spatio-temporal changes of small protist and free-living bacterial communities in a temperate dimictic lake: insights from metabarcoding and machine learning.
FEMS microbiology ecology
Jul 12, 2024
Microbial communities, which include prokaryotes and protists, play an important role in aquatic ecosystems and influence ecological processes. To understand these communities, metabarcoding provides a powerful tool to assess their taxonomic composit...
How widespread use of generative AI for images and video can affect the environment and the science of ecology.
Ecology letters
Mar 1, 2024
Generative artificial intelligence (AI) models will have broad impacts on society including the scientific enterprise; ecology and environmental science will be no exception. Here, we discuss the potential opportunities and risks of advanced generati...
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 ...
How AI can help to save endangered species.
Nature
Nov 1, 2023
Biodiversity assessment using passive acoustic recordings from off-reef location-Unsupervised learning to classify fish vocalization.
The Journal of the Acoustical Society of America
Mar 1, 2023
We present the quantitative characterization of Grande Island's off-reef acoustic environment within the Zuari estuary during the pre-monsoon period. Passive acoustic recordings reveal prominent fish choruses. Detailed characteristics of the call emp...
Predicting disease variants using biodiversity and machine learning.
Nature biotechnology
Jan 1, 2022
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