AIMC Topic: Trees

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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 Ecosystem Biomass Machine Learning Forests Algorithms Trees Unmanned Aerial Devices Eucalyptus Light
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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...
Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Trees Deep Learning
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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...
Neural Networks, Computer Trees Fruit Algorithms Image Processing, Computer-Assisted Mangifera
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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...
Hyperspectral Imaging Remote Sensing Technology Trees Neural Networks, Computer Algorithms Deep Learning Support Vector Machine
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Sooty Mold Detection on Citrus Tree Canopy Using Deep Learning Algorithms.

Sensors (Basel, Switzerland) Oct 17, 2023
Sooty mold is a common disease found in citrus plants and is characterized by black fungi growth on fruits, leaves, and branches. This mold reduces the plant's ability to carry out photosynthesis. In small leaves, it is very difficult to detect sooty...
Algorithms Trees Citrus Deep Learning Fungi
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Soundscapes and deep learning enable tracking biodiversity recovery in tropical forests.

Nature communications Oct 17, 2023
Tropical forest recovery is fundamental to addressing the intertwined climate and biodiversity loss crises. While regenerating trees sequester carbon relatively quickly, the pace of biodiversity recovery remains contentious. Here, we use bioacoustics...
Conservation of Natural Resources Tropical Climate Forests Trees Animals Ecosystem Deep Learning Biodiversity
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Long-lead streamflow forecasting using computational intelligence methods while considering uncertainty issue.

Environmental science and pollution research international Jun 27, 2023
While some robust artificial intelligence (AI) techniques such as Gene-Expression Programming (GEP), Model Tree (MT), and Multivariate Adaptive Regression Spline (MARS) have been frequently employed in the field of water resources, documents aimed to...
Rivers Uncertainty Water Resources Lead Trees Artificial Intelligence Forecasting
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Fruit Sizing in Orchard: A Review from Caliper to Machine Vision with Deep Learning.

Sensors (Basel, Switzerland) Apr 10, 2023
Forward estimates of harvest load require information on fruit size as well as number. The task of sizing fruit and vegetables has been automated in the packhouse, progressing from mechanical methods to machine vision over the last three decades. Thi...
Fruit Deep Learning Vegetables Trees
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Adapting small jumping robots to compliant environments.

Journal of the Royal Society, Interface Mar 1, 2023
Jumping animals launch themselves from surfaces that vary widely in compliance from grasses and shrubs to tree branches. However, studies of robotic jumpers have been largely limited to those jumping from rigid substrates. In this paper, we leverage ...
Trees Environment Robotics Poaceae Animals
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Drone-assisted collection of environmental DNA from tree branches for biodiversity monitoring.

Science robotics Jan 18, 2023
The protection and restoration of the biosphere is crucial for human resilience and well-being, but the scarcity of data on the status and distribution of biodiversity puts these efforts at risk. DNA released into the environment by organisms, i.e., ...
Trees DNA, Environmental Unmanned Aerial Devices Robotics Humans Biodiversity Animals
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