Innovative deep learning artificial intelligence applications for predicting relationships between individual tree height and diameter at breast height
İ Ercanlı - Forest Ecosystems, 2020 - Springer
Abstract Background Deep Learning Algorithms (DLA) have become prominent as an
application of Artificial Intelligence (AI) Techniques since 2010. This paper introduces the …
application of Artificial Intelligence (AI) Techniques since 2010. This paper introduces the …
Artificial intelligence with deep learning algorithms to model relationships between total tree height and diameter at breast height
İ Ercanli - Forest systems, 2020 - fs.revistas.csic.es
Aim of Study: As an innovative prediction technique, Artificial Intelligence technique based
on a Deep Learning Algorithm (DLA) with various numbers of neurons and hidden layer …
on a Deep Learning Algorithm (DLA) with various numbers of neurons and hidden layer …
Modelling height-diameter relationships in complex tropical rain forest ecosystems using deep learning algorithm
Modelling tree height-diameter relationships in complex tropical rain forest ecosystems
remains a challenge because of characteristics of multi-species, multi-layers, and …
remains a challenge because of characteristics of multi-species, multi-layers, and …
Assessing a reliable modeling approach of features of trees through neural network models for sustainable forests
MJ Diamantopoulou - Sustainable Computing: Informatics and Systems, 2012 - Elsevier
Financial exploitation of forests comprises an important part of man activity. There are efforts
being made to conserve the sustainable exploitation while simultaneously avoiding …
being made to conserve the sustainable exploitation while simultaneously avoiding …
Estimation of tree heights in an uneven-aged, mixed forest in northern Iran using artificial intelligence and empirical models
The diameters and heights of trees are two of the most important components in a forest
inventory. In some circumstances, the heights of trees need to be estimated due to the time …
inventory. In some circumstances, the heights of trees need to be estimated due to the time …
Prediction of street tree morphological parameters using artificial neural networks
P Jutras, SO Prasher, GR Mehuys - Computers and Electronics in …, 2009 - Elsevier
Street trees positively affect the everyday life of city inhabitants and therefore successful
management of this resource is important. A tree inventory is an essential first step towards …
management of this resource is important. A tree inventory is an essential first step towards …
Machine learning for the estimation of diameter increment in mixed and uneven-aged forests
Estimating the diameter increment of forests is one of the most important relationships in
forest management and planning. The aim of this study was to provide insight into the …
forest management and planning. The aim of this study was to provide insight into the …
Deep learning models for improved reliability of tree aboveground biomass prediction in the tropical evergreen broadleaf forests
B Huy, NQ Truong, NQ Khiem, KP Poudel… - Forest Ecology and …, 2022 - Elsevier
Aboveground biomass (AGB) and carbon uptake of a forest are key ecological indicators for
various technical and scientific applications and sustainable forest management. Deep …
various technical and scientific applications and sustainable forest management. Deep …
Individual tree diameter growth models of larch–spruce–fir mixed forests based on machine learning algorithms
Q Ou, X Lei, C Shen - Forests, 2019 - mdpi.com
Individual tree growth models are flexible and commonly used to represent growth dynamics
for heterogeneous and structurally complex uneven-aged stands. Besides traditional …
for heterogeneous and structurally complex uneven-aged stands. Besides traditional …
Modeling of ash (Fraxinus excelsior) bark thickness in urban forests using artificial neural network (ANN) and regression models
Z Mosaffaei, A Jahani - Modeling Earth Systems and Environment, 2021 - Springer
Bark is a protective layer in trees, as well as living texture, so estimating bark thickness is
very important in future decisions in urban forestry. The purpose of this article is to compare …
very important in future decisions in urban forestry. The purpose of this article is to compare …
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