Heating value prediction model of Acacia mangium Willd using near infrared spectroscopy

This study reported the prediction model of heating value for the Acacia mangium Willd which is the promoted as energy plant for the farmer to grow in the farm. Its heating value is approximately of 19 kJ/kg which provides high potential using for an alternative energy as biomass. The near infrared...

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Main Authors: Pambudi Suluh, Saechua Wanphut
Format: Article
Language:English
Published: EDP Sciences 2025-01-01
Series:BIO Web of Conferences
Online Access:https://www.bio-conferences.org/articles/bioconf/pdf/2025/01/bioconf_icbae2025_02002.pdf
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author Pambudi Suluh
Saechua Wanphut
author_facet Pambudi Suluh
Saechua Wanphut
author_sort Pambudi Suluh
collection DOAJ
description This study reported the prediction model of heating value for the Acacia mangium Willd which is the promoted as energy plant for the farmer to grow in the farm. Its heating value is approximately of 19 kJ/kg which provides high potential using for an alternative energy as biomass. The near infrared spectroscopy technique (NIR) is used to create model to predict the heating value of this biomass in order to reduce the investigated time. The results of model on the validation set were the coefficient of determination (R2) of 71%, RMSEP of 246 J/g, RPD 1.87 and bias of 33.7 J/g. These results showed the potential and possibility to apply the NIR prediction technique. The robust model was suggested to carried out for more accuracy and may be applied in the online system analysis.
format Article
id doaj-art-b36d5006eeb246f49fe35d9fabc73bf4
institution Kabale University
issn 2117-4458
language English
publishDate 2025-01-01
publisher EDP Sciences
record_format Article
series BIO Web of Conferences
spelling doaj-art-b36d5006eeb246f49fe35d9fabc73bf42025-01-16T11:20:04ZengEDP SciencesBIO Web of Conferences2117-44582025-01-011500200210.1051/bioconf/202515002002bioconf_icbae2025_02002Heating value prediction model of Acacia mangium Willd using near infrared spectroscopyPambudi Suluh0Saechua Wanphut1Department of Agricultural Engineering, School of Engineering, King Mongkut’s Institute of Technology Ladkrabang, LadkrabangDepartment of Agricultural Engineering, School of Engineering, King Mongkut’s Institute of Technology Ladkrabang, LadkrabangThis study reported the prediction model of heating value for the Acacia mangium Willd which is the promoted as energy plant for the farmer to grow in the farm. Its heating value is approximately of 19 kJ/kg which provides high potential using for an alternative energy as biomass. The near infrared spectroscopy technique (NIR) is used to create model to predict the heating value of this biomass in order to reduce the investigated time. The results of model on the validation set were the coefficient of determination (R2) of 71%, RMSEP of 246 J/g, RPD 1.87 and bias of 33.7 J/g. These results showed the potential and possibility to apply the NIR prediction technique. The robust model was suggested to carried out for more accuracy and may be applied in the online system analysis.https://www.bio-conferences.org/articles/bioconf/pdf/2025/01/bioconf_icbae2025_02002.pdf
spellingShingle Pambudi Suluh
Saechua Wanphut
Heating value prediction model of Acacia mangium Willd using near infrared spectroscopy
BIO Web of Conferences
title Heating value prediction model of Acacia mangium Willd using near infrared spectroscopy
title_full Heating value prediction model of Acacia mangium Willd using near infrared spectroscopy
title_fullStr Heating value prediction model of Acacia mangium Willd using near infrared spectroscopy
title_full_unstemmed Heating value prediction model of Acacia mangium Willd using near infrared spectroscopy
title_short Heating value prediction model of Acacia mangium Willd using near infrared spectroscopy
title_sort heating value prediction model of acacia mangium willd using near infrared spectroscopy
url https://www.bio-conferences.org/articles/bioconf/pdf/2025/01/bioconf_icbae2025_02002.pdf
work_keys_str_mv AT pambudisuluh heatingvaluepredictionmodelofacaciamangiumwilldusingnearinfraredspectroscopy
AT saechuawanphut heatingvaluepredictionmodelofacaciamangiumwilldusingnearinfraredspectroscopy