AIMC Topic: Populus

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Spatial and temporal classification and prediction of aspen probability in boreal forests using machine learning algorithms.

Environmental monitoring and assessment Apr 9, 2025
Mapping and classifying the probability of occurrence of Populus tremula L. (aspen) in boreal forests is a complex task for sustainable forest management and biodiversity conservation. As a key broadleaved species in the taiga region, aspen supports ...
Machine Learning Algorithms Environmental Monitoring Biodiversity Forests Forestry Populus Taiga
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Integrating sensor fusion with machine learning for comprehensive assessment of phenotypic traits and drought response in poplar species.

Plant biotechnology journal Mar 30, 2025
Increased drought frequency and severity in a warming climate threaten the health and stability of forest ecosystems, influencing the structure and functioning of forests while having far-reaching implications for global carbon storage and climate re...
Machine Learning Phenotype Stress, Physiological Droughts Populus
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Early () Leaf-Based Disease Detection through Computer Vision, YOLOv8, and Contrast Stretching Technique.

Sensors (Basel, Switzerland) Aug 11, 2024
() trees play a vital role in various industries and in environmental sustainability. They are widely used for paper production, timber, and as windbreaks, in addition to their significant contributions to carbon sequestration. Given their economic ...
Neural Networks, Computer Republic of Korea Image Processing, Computer-Assisted Plant Leaves Plant Diseases Populus
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Enhancing genome-wide populus trait prediction through deep convolutional neural networks.

The Plant journal : for cell and molecular biology May 13, 2024
As a promising model, genome-based plant breeding has greatly promoted the improvement of agronomic traits. Traditional methods typically adopt linear regression models with clear assumptions, neither obtaining the linkage between phenotype and genot...
Neural Networks, Computer Phenotype Deep Learning Genotype Bayes Theorem Genome, Plant Plant Breeding Populus
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Machine learning models for net photosynthetic rate prediction using poplar leaf phenotype data.

PloS one Feb 11, 2020
BACKGROUND: As an essential component in reducing anthropogenic CO2 emissions to the atmosphere, tree planting is the key to keeping carbon dioxide emissions under control. In 1992, the United Nations agreed to take action at the Earth Summit to stab...
Machine Learning Phenotype Models, Theoretical Plant Leaves Photosynthesis Populus
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