AIMC Topic: Trees

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Mango Fruit Load Estimation Using a Video Based MangoYOLO-Kalman Filter-Hungarian Algorithm Method.

Sensors (Basel, Switzerland) Jun 18, 2019
Pre-harvest fruit yield estimation is useful to guide harvesting and marketing resourcing, but machine vision estimates based on a single view from each side of the tree ("dual-view") underestimates the fruit yield as fruit can be hidden from view. ...
Video Recording Mangifera Trees Fruit Humans Algorithms Deep Learning
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Artificial neural networks: Modeling tree survival and mortality in the Atlantic Forest biome in Brazil.

The Science of the total environment Jul 18, 2018
Models to predict tree survival and mortality can help to understand vegetation dynamics and to predict effects of climate change on native forests. The objective of the present study was to use Artificial Neural Networks, based on the competition in...
Climate Change Forests Trees Brazil Environmental Monitoring Neural Networks, Computer Ecosystem
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An alternative approach for estimating above ground biomass using Resourcesat-2 satellite data and artificial neural network in Bundelkhand region of India.

Environmental monitoring and assessment Oct 20, 2017
Determination of above ground biomass (AGB) of any forest is a longstanding scientific endeavor, which helps to estimate net primary productivity, carbon stock and other biophysical parameters of that forest. With advancement of geospatial technology...
Neural Networks, Computer Environmental Monitoring Reproducibility of Results Forests Carbon Biomass Satellite Imagery Trees Pilot Projects India
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Artificial Intelligence Procedures for Tree Taper Estimation within a Complex Vegetation Mosaic in Brazil.

PloS one May 17, 2016
Tree stem form in native tropical forests is very irregular, posing a challenge to establishing taper equations that can accurately predict the diameter at any height along the stem and subsequently merchantable volume. Artificial intelligence approa...
Geography Brazil Algorithms Ecosystem Models, Theoretical Forests Neural Networks, Computer Artificial Intelligence Trees
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Simulated herbivory does not constrain phenotypic plasticity to shade through ontogeny in a relict tree.

Plant biology (Stuttgart, Germany) Apr 7, 2016
Ecological limits to phenotypic plasticity (PP), induced by simultaneous biotic and abiotic factors, can prevent organisms from exhibiting optimal plasticity, and in turn lead to decreased fitness. Herbivory is an important biotic stressor and may li...
Herbivory Stress, Physiological Plant Leaves Plant Shoots Seedlings Light Phenotype Ecology Trees Plant Roots Biological Ontologies Models, Biological
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Enhancing Climate-Driven Urban Tree Cooling with Targeted Nonclimatic Interventions.

Environmental science & technology May 13, 2025
Urban trees play a pivotal role in mitigating heat, yet the global determinants and patterns of their cooling efficiency (CE) remain elusive. Here, we quantify the diel CE of 229 cities across four climatic zones and employ a machine-learning model t...
Cities Trees Climate
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Forest fire risk zoning based on fuzzy logic and analytical network process.

Ying yong sheng tai xue bao = The journal of applied ecology Feb 1, 2024
Forest fires have a significant impact on human life, property safety, and ecological environment. Deve-loping high-quality forest fire risk maps is beneficial for preventing forest fires, guiding resource allocation for firefighting, assisting in fi...
Humans Fires Forests Geographic Information Systems Fuzzy Logic Wildfires Trees
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SmartWoodID-an image collection of large end-grain surfaces to support wood identification systems.

Database : the journal of biological databases and curation May 13, 2023
Wood identification is a key step in the enforcement of laws and regulations aimed at combatting illegal timber trade. Robust wood identification tools, capable of distinguishing a large number of timbers, depend on a solid database of reference mate...
Artificial Intelligence Wood Trees Species Specificity
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Convolutional neural network tree species identification based on tree-ring radial section image features.

Ying yong sheng tai xue bao = The journal of applied ecology Jan 1, 2023
Convolutional neural networks can automatically identify tree species based on the images of structural features of tree-rings samples. In this study, we used a tree-ring image dataset for different species to achieve tree-ring based species automati...
Trees Neural Networks, Computer
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Improved FCM algorithm for fisheye image cluster analysis for tree height calculation.

Mathematical biosciences and engineering : MBE Sep 9, 2021
The height of standing trees is an important index in forestry research. This index is not only hard to measure directly but also the environmental factors increase the measurement difficulty. Therefore, the measurement of the height of standing tree...
Fuzzy Logic Cluster Analysis Algorithms Magnetic Resonance Imaging Trees
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