AIMC Topic: Forests

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Indigenous wood species classification using a multi-stage deep learning with grad-CAM explainability and an ensemble technique for Northern Bangladesh.

PloS one Jul 29, 2025
Wood species recognition has recently emerged as a vital field in the realm of forestry and ecological conservation. Early studies in this domain have offered various methods for classifying distinct wood species found worldwide using data collected ...
Conservation of Natural Resources Wood Forests Bangladesh Neural Networks, Computer Deep Learning
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Inversion and validation of soil water-holding capacity in a wild fruit forest, using hyperspectral technology combined with machine learning.

Scientific reports Jul 19, 2025
Soil water retention is a critical aspect of water conservation. To quantitatively assess the Soil Water-Holding Capacity (SWHC), this study focused on a typical wild fruit forest in Xinjiang, China. The spectral characteristics of the forest canopy ...
Forests Trees Fruit Soil China Water Machine Learning Algorithms
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A data-driven approach to forest health assessment through multivariate analysis and machine learning techniques.

BMC plant biology Jul 15, 2025
BACKGROUND: Himalayan forests are fragile, rich in biodiversity, and face increasing threats from anthropogenic pressures and climate change. Assessing their health is critical for sustainable forest management. This study integrated ecological indic...
Machine Learning Trees Conservation of Natural Resources Multivariate Analysis Principal Component Analysis Forests
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Combined impact of semantic segmentation and quantitative structure modelling of Southern pine trees using terrestrial laser scanning.

Scientific reports Jul 8, 2025
Southern pine forests play a key role in the ecological function and economic vitality of the southeastern United States. High-resolution terrestrial laser scanning (TLS) has become an indispensable tool for advancing tree structural research and mon...
Pinus Pinus taeda Wood Florida Algorithms Plant Leaves Trees Lasers Forests
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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...
Introduced Species Unmanned Aerial Devices Forests Neural Networks, Computer Trees Algorithms Deep Learning Workflow Brazil
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Exploring the spatiotemporal influence of climate on American avian migration with random forests.

Scientific reports Jul 1, 2025
Birds have adapted to climatic and ecological cycles to inform their Spring and Fall migration timings, but anthropogenic global warming has affected these long-establish cycles. Understanding these dynamics is critical for conservation during a chan...
Machine Learning Animals Spatio-Temporal Analysis Random Forest Birds Climate Change Forests Climate Animal Migration Seasons
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Monitoring temporal changes in large urban street trees using remote sensing and deep learning.

PloS one Jun 26, 2025
In the rapidly changing dynamics of urbanization, urban forests offer numerous benefits to city dwellers. However, the information available on these resources is often outdated or non-existent, leading in part to inequitable access to these benefits...
San Francisco Deep Learning Urbanization Cities Forests Humans Remote Sensing Technology Trees Ecosystem
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Deforestation driven by illegal and informal gold mining in the southern Peruvian Amazon: a predictive land use analysis over the next 50 years.

Environmental monitoring and assessment Jun 23, 2025
The Amazon is recognized not only for its vast biodiversity and territorial extent but also for the significant mineral riches it harbors. This potential has intensified small-scale illegal and informal gold mining, a practice often employed without ...
Peru Conservation of Natural Resources Environmental Monitoring Mining Gold Forests
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Past and Present in the Ecological Connectivity of Protected Areas Through Land Cover and Graph-Based Metrics.

Environmental management Jun 17, 2025
Habitat reduction is significantly threatening biodiversity, making ecological connectivity which facilitates species movement across habitat patches, essential for human impacts mitigation, promoting genetic exchange, and enabling colonization of ne...
Ecosystem Rivers Conservation of Natural Resources Spain Biodiversity Forests
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Machine learning techniques for continuous genetic assignment of geographic origin of forest trees.

PloS one Jun 6, 2025
Origin tracking is important to ensure use of the right seed source and trade with legally harvested timber. Additionally, it can help to reconstruct human-caused historical long-distance seed transfer and to spot mislabelling in forest field trials....
Forests Fagus Polymorphism, Single Nucleotide Humans Quercus Trees Europe Machine Learning
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