Ten-year estimation of Oriental beech (Fagus orientalis Lipsky) volume increment in natural forests: a comparison of an artificial neural networks model, multiple …

M Bayat, P Bettinger, M Hassani… - … An International Journal …, 2021 - academic.oup.com
Determining forest volume increment, the potential of wood production in natural forests, is a
complex issue but is of fundamental importance to sustainable forest management …

Productivity estimate using regression and artificial neural networks in small familiar areas with agrosilvopastoral systems

S Silva, SN de Oliveira Neto, HG Leite… - Agroforestry …, 2020 - Springer
This study aimed to model the height of trees and volumetric production of eucalypts trees
on the agrosilvopastoral systems (AGP) of Zona da Mata Mineira region, Brazil, using …

Artificial neural networks applied in forest biometrics and modeling: state of the art (january/2007 to july/2018)

F Chiarello, MTA Steiner, EBDE OLIVEIRA, JE Arce… - Cerne, 2019 - SciELO Brasil
Artificial Intelligence has been an important support tool in different spheres of activity,
enabling knowledge aggregation, process optimization and the application of …

Effects of stand factors on tree growth of Chinese fir in the subtropics of China depends on climate conditions from predictions of a deep learning algorithm: A long …

Z Wang, X Zhang, J Zhang, S Chhin - Forest Ecology and Management, 2022 - Elsevier
Stand and climate related variables are the main driving forces controlling individual tree
growth. Two machine learning algorithms called deep learning and random forest were …

Bee-inspired RBF network for volume estimation of individual trees

EM da Silva Jr, RD Maia, CD Cabacinha - Computers and Electronics in …, 2018 - Elsevier
The Eucalyptus is the most cultivated kind of tree in Brazil because it has adapted to the
climate and has great importance for the industry. In cultivated forests, the wood volume is …

Estimating Urban Forests Biomass with LiDAR by Using Deep Learning Foundation Models

H Liu, C Mou, J Yuan, Z Chen, L Zhong, X Cui - Remote Sensing, 2024 - mdpi.com
Accurately estimating vegetation biomass in urban forested areas is of great interest to
researchers as it is a key indicator of the carbon sequestration capacity necessary for cities …

[HTML][HTML] Generic and Specific Models for Volume Estimation in Forest and Savanna Phytophysiognomies in Brazilian Cerrado

YF Souza, EP Miguel, AJN Lima, ÁN Souza… - Plants, 2024 - mdpi.com
The Cerrado has high plant and vertebrate diversity and is an important biome for
conserving species and provisioning ecosystem services. Volume equations in this biome …

Machine learning approach for estimating tree volume

SHM Mushar, SSS Ahmad, F Kasmin… - Journal of Physics …, 2020 - iopscience.iop.org
With the forestry and logging activities contributing to 5.6% of the agricultural sector in
Malaysia's 2018 GDP growth, this had thus implied the forest as having a significant role in …

Accuracy of tree height estimation with model extracted from artificial neural network and new linear and nonlinear models

D Dantas, LOR Pinto, THS Lacerda… - Acta Scientiarum …, 2024 - SciELO Brasil
Variable height is commonly used as an input attribute to estimate other variables. Thus, to
ensure less susceptibility to errors, it is necessary to obtain the variable height correctly. In …

[PDF][PDF] Use of artificial neural networks for predicting volume of forest species in the Amazon forest.

DV de Oliveira, RRO Neto, HG Leite, R Rode… - 2021 - ipef.br
The objective of this study was to evaluate the efficiency of artificial neural networks to
predict wood volume of forest species in the Tapajós National Forest (Amazon) compared to …