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 …

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 …

Modelling height-diameter relationships in complex tropical rain forest ecosystems using deep learning algorithm

FN Ogana, I Ercanli - Journal of Forestry Research, 2022 - Springer
Modelling tree height-diameter relationships in complex tropical rain forest ecosystems
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 …

Estimation of tree heights in an uneven-aged, mixed forest in northern Iran using artificial intelligence and empirical models

M Bayat, P Bettinger, S Heidari, A Henareh Khalyani… - Forests, 2020 - mdpi.com
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 …

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 …

Machine learning for the estimation of diameter increment in mixed and uneven-aged forests

A Salehnasab, M Bayat, M Namiranian, B Khaleghi… - Sustainability, 2022 - mdpi.com
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 …

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 …

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 …

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 …