Exploring machine learning modeling approaches for biomass and carbon dioxide weight estimation in Lebanon cedar trees

Exploring machine learning modeling approaches for biomass and carbon dioxide weight estimation in Lebanon cedar trees

Accurate estimates of total tree biomass are of critical importance to obtain reliable estimation of the carbon dioxide weight sequestered from the atmosphere by trees and forest stands. This information has the potential to guide appropriate forest management decisions which allow for both the impr...

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Bibliographic Details
Main Authors: Diamantopoulou MJ, Çömez A, Özçelik R, Güner ST
Format: Article
Language:English
Published: Italian Society of Silviculture and Forest Ecology (SISEF) 2024-02-01
Series:iForest - Biogeosciences and Forestry
Subjects:
Tree Biomass
Carbon Dioxide Weight
Levenberg-Marquardt Artificial Neural Network
Support Vector Machine For Regression
Lebanon Cedar Trees
Online Access:https://iforest.sisef.org/contents/?id=ifor4328-016

Internet

https://iforest.sisef.org/contents/?id=ifor4328-016

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