AIMC Topic: Trees

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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...
Algorithms Brazil Deep Learning Neural Networks, Computer Trees Introduced Species Unmanned Aerial Devices Workflow Forests
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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 However, the information available on these resources is often outdated or non-existent, leading in part to inequitable access to these benefits...
Urbanization Ecosystem Deep Learning Cities Humans Forests Trees Remote Sensing Technology San Francisco
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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 ...
Humans Biomechanical Phenomena Gait Motion Trees Robotics Equipment Design Mountaineering
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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 Trees Quercus Humans Machine Learning Europe Forests Polymorphism, Single Nucleotide
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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...
Trees Tropical Climate Environmental Monitoring Forests Biomass Deep Learning
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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....
Models, Biological Fires Humans Trees Artificial Intelligence Ecosystem
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Forest Aboveground Biomass Estimation Based on Unmanned Aerial Vehicle-Light Detection and Ranging and Machine Learning.

Sensors (Basel, Switzerland) Nov 2, 2024
is a widely planted species in plantation forests because of its outstanding characteristics, such as fast growth rate and high adaptability. Accurate and rapid prediction of biomass is important for plantation forest management and the prediction ...
Support Vector Machine Remote Sensing Technology Light Ecosystem Forests Trees Machine Learning Biomass Eucalyptus Unmanned Aerial Devices Algorithms
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A Framework for Measuring Tree Rings Based on Panchromatic Images and Deep Learning.

Plant, cell & environment Sep 10, 2024
Tree-ring data are pivotal for decoding the age and growth patterns of trees, reflecting the impact of environmental factors over time. Addressing the significant shortcomings of traditional, labour-intensive and resource-demanding methods, we propos...
Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Trees Algorithms
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Developing Machine Vision in Tree-Fruit Applications-Fruit Count, Fruit Size and Branch Avoidance in Automated Harvesting.

Sensors (Basel, Switzerland) Aug 29, 2024
Recent developments in affordable depth imaging hardware and the use of 2D Convolutional Neural Networks (CNN) in object detection and segmentation have accelerated the adoption of machine vision in a range of applications, with mainstream models oft...
Fruit Neural Networks, Computer Mangifera Algorithms Image Processing, Computer-Assisted Trees
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A Hybrid convolution neural network for the classification of tree species using hyperspectral imagery.

PloS one May 31, 2024
In recent years, the advancement of hyperspectral remote sensing technology has greatly enhanced the detailed mapping of tree species. Nevertheless, delving deep into the significance of hyperspectral remote sensing data features for tree species rec...
Remote Sensing Technology Hyperspectral Imaging Trees Deep Learning Neural Networks, Computer Support Vector Machine Algorithms
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