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Above-ground biomass and carbon stock estimation of Harumanis using artificial neural network and random forest / Siti Noor Syazwani Zakaria, Nurul Ain Mohd Zaki and Farrah Melissa Muharam

The artificial neural network and random forest are the popular machine learning algorithms to estimate above-ground biomass and carbon stock. This algorithms will be used to estimate the carbon stock for Harumanis.

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Main Authors: Zakaria, Siti Noor Syazwani, Mohd Zaki, Nurul Ain, Muharam, Farrah Melissa
Other Authors: Bakri, Aidatul Fadzlin
Format: Book Section
Language:English
Published: College of Built Environment 2023
Online Access:https://ir.uitm.edu.my/id/eprint/85153/1/85153.pdf
https://ir.uitm.edu.my/id/eprint/85153/
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spelling my.uitm.ir.851532023-10-27T01:34:51Z https://ir.uitm.edu.my/id/eprint/85153/ Above-ground biomass and carbon stock estimation of Harumanis using artificial neural network and random forest / Siti Noor Syazwani Zakaria, Nurul Ain Mohd Zaki and Farrah Melissa Muharam Zakaria, Siti Noor Syazwani Mohd Zaki, Nurul Ain Muharam, Farrah Melissa The artificial neural network and random forest are the popular machine learning algorithms to estimate above-ground biomass and carbon stock. This algorithms will be used to estimate the carbon stock for Harumanis. College of Built Environment Bakri, Aidatul Fadzlin Zainul Abidin, Nurzafira Ismail, Noor Akmal Adillah Baharuddin, Har Einur Azrin Abdul Rasam, Abdul Rauf 2023 Book Section NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/85153/1/85153.pdf Above-ground biomass and carbon stock estimation of Harumanis using artificial neural network and random forest / Siti Noor Syazwani Zakaria, Nurul Ain Mohd Zaki and Farrah Melissa Muharam. (2023) In: International Invention, Innovation and Design Exposition for Built Environment and Engineering 2023. College of Built Environment.
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
description The artificial neural network and random forest are the popular machine learning algorithms to estimate above-ground biomass and carbon stock. This algorithms will be used to estimate the carbon stock for Harumanis.
author2 Bakri, Aidatul Fadzlin
author_facet Bakri, Aidatul Fadzlin
Zakaria, Siti Noor Syazwani
Mohd Zaki, Nurul Ain
Muharam, Farrah Melissa
format Book Section
author Zakaria, Siti Noor Syazwani
Mohd Zaki, Nurul Ain
Muharam, Farrah Melissa
spellingShingle Zakaria, Siti Noor Syazwani
Mohd Zaki, Nurul Ain
Muharam, Farrah Melissa
Above-ground biomass and carbon stock estimation of Harumanis using artificial neural network and random forest / Siti Noor Syazwani Zakaria, Nurul Ain Mohd Zaki and Farrah Melissa Muharam
author_sort Zakaria, Siti Noor Syazwani
title Above-ground biomass and carbon stock estimation of Harumanis using artificial neural network and random forest / Siti Noor Syazwani Zakaria, Nurul Ain Mohd Zaki and Farrah Melissa Muharam
title_short Above-ground biomass and carbon stock estimation of Harumanis using artificial neural network and random forest / Siti Noor Syazwani Zakaria, Nurul Ain Mohd Zaki and Farrah Melissa Muharam
title_full Above-ground biomass and carbon stock estimation of Harumanis using artificial neural network and random forest / Siti Noor Syazwani Zakaria, Nurul Ain Mohd Zaki and Farrah Melissa Muharam
title_fullStr Above-ground biomass and carbon stock estimation of Harumanis using artificial neural network and random forest / Siti Noor Syazwani Zakaria, Nurul Ain Mohd Zaki and Farrah Melissa Muharam
title_full_unstemmed Above-ground biomass and carbon stock estimation of Harumanis using artificial neural network and random forest / Siti Noor Syazwani Zakaria, Nurul Ain Mohd Zaki and Farrah Melissa Muharam
title_sort above-ground biomass and carbon stock estimation of harumanis using artificial neural network and random forest / siti noor syazwani zakaria, nurul ain mohd zaki and farrah melissa muharam
publisher College of Built Environment
publishDate 2023
url https://ir.uitm.edu.my/id/eprint/85153/1/85153.pdf
https://ir.uitm.edu.my/id/eprint/85153/
_version_ 1781709260424478720
score 13.211869

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