AIMC Topic: Trees

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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 ...
Machine Learning Algorithms Soil Forests Trees Fruit China Water
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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 Conservation of Natural Resources Principal Component Analysis Forests Multivariate Analysis Trees
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Tecomella undulata under threat: The impact of climate change on the distribution of a valuable tree species using a machine learning model.

PloS one Jul 9, 2025
Climate change has emerged as a significant driver of biodiversity loss, with profound implications for species distribution. This study assessed the current and future distribution of Tecomella undulata (Desert teak), an economically and medicinally...
Machine Learning Temperature Ecosystem Conservation of Natural Resources Trees Biodiversity Iran Climate Change Seasons
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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...
Lasers Wood Florida Forests Trees Pinus Pinus taeda Algorithms Plant Leaves
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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...
Trees Introduced Species Unmanned Aerial Devices Workflow Forests Brazil Deep Learning Neural Networks, Computer Algorithms
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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...
Trees Humans San Francisco Cities Ecosystem Urbanization Remote Sensing Technology Deep Learning Forests
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Study on the structural function and motion performance of pneumatic flexible tree-climbing robot.

PloS one Jun 11, 2025
To enhance the adaptability of tree-climbing robots to changes in tree diameter and load capacity, an "I-shaped" pneumatic flexible tree - climbing robot was designed using self-developed pneumatic flexible joints and retractable needle anchors. The ...
Gait Motion Mountaineering Trees Biomechanical Phenomena Robotics Equipment Design Humans
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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....
Fagus Humans Machine Learning Forests Polymorphism, Single Nucleotide Trees Quercus Europe
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Comparing statistical and deep learning approaches for simultaneous prediction of stand-level above- and belowground biomass in tropical forests.

The Science of the total environment Dec 5, 2024
Accurate and cost-effective prediction of aboveground biomass (AGB), belowground biomass (BGB), and the total (ABGB) at stand-level within tropical forests is crucial for effective forest ecological management and the provision of forest ecosystem se...
Tropical Climate Forests Deep Learning Trees Environmental Monitoring Biomass
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Cooperative control of environmental extremes by artificial intelligent agents.

Journal of the Royal Society, Interface Nov 6, 2024
Humans have been able to tackle biosphere complexities by acting as ecosystem engineers, profoundly changing the flows of matter, energy and information. This includes major innovations that allowed to reduce and control the impact of extreme events....
Ecosystem Humans Fires Models, Biological Artificial Intelligence Trees
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