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Prediction of sugarcane quality parameters using visible-shortwave near infrared spectroradiometer

This study was undertaken to explore the potential of spectroscopic method to predict sugarcane quality parameters by directly scanning the internode samples. Spectral data was collected from 125 internode using a visible-shortwave near infrared spectroradiometer (VNIRS). The spectral data was calib...

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Main Authors: Mat Nawi, Nazmi, Kamal, Md Rowshon, Chen, Guangnan, Jensen, Troy
Format: Article
Language:English
Published: Elsevier 2014
Online Access:http://psasir.upm.edu.my/id/eprint/43187/1/Prediction%20of%20Sugarcane%20Quality%20Parameters%20Using%20Visible-shortwave%20Near%20Infrared%20Spectroradiometer.pdf
http://psasir.upm.edu.my/id/eprint/43187/
http://www.sciencedirect.com/science/article/pii/S2210784314000217
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spelling my.upm.eprints.431872016-05-04T04:34:33Z http://psasir.upm.edu.my/id/eprint/43187/ Prediction of sugarcane quality parameters using visible-shortwave near infrared spectroradiometer Mat Nawi, Nazmi Kamal, Md Rowshon Chen, Guangnan Jensen, Troy This study was undertaken to explore the potential of spectroscopic method to predict sugarcane quality parameters by directly scanning the internode samples. Spectral data was collected from 125 internode using a visible-shortwave near infrared spectroradiometer (VNIRS). The spectral data was calibrated using Partial Least Square (PLS) method against the reference values of Brix, fibre content (FC) and moisture content (MC). The prediction results for Brix, FC and MC as represented by coefficient of determination (R2) were 0.88, 0.93 and 0.90,respectively. These results suggested that the spectroscopic method could be used to predict sugarcane quality parameters with good accuracy. Elsevier 2014 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/43187/1/Prediction%20of%20Sugarcane%20Quality%20Parameters%20Using%20Visible-shortwave%20Near%20Infrared%20Spectroradiometer.pdf Mat Nawi, Nazmi and Kamal, Md Rowshon and Chen, Guangnan and Jensen, Troy (2014) Prediction of sugarcane quality parameters using visible-shortwave near infrared spectroradiometer. Agriculture and Agricultural Science Procedia, 2. pp. 136-143. ISSN 2210-7843 http://www.sciencedirect.com/science/article/pii/S2210784314000217 10.1016/j.aaspro.2014.11.020
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description This study was undertaken to explore the potential of spectroscopic method to predict sugarcane quality parameters by directly scanning the internode samples. Spectral data was collected from 125 internode using a visible-shortwave near infrared spectroradiometer (VNIRS). The spectral data was calibrated using Partial Least Square (PLS) method against the reference values of Brix, fibre content (FC) and moisture content (MC). The prediction results for Brix, FC and MC as represented by coefficient of determination (R2) were 0.88, 0.93 and 0.90,respectively. These results suggested that the spectroscopic method could be used to predict sugarcane quality parameters with good accuracy.
format Article
author Mat Nawi, Nazmi
Kamal, Md Rowshon
Chen, Guangnan
Jensen, Troy
spellingShingle Mat Nawi, Nazmi
Kamal, Md Rowshon
Chen, Guangnan
Jensen, Troy
Prediction of sugarcane quality parameters using visible-shortwave near infrared spectroradiometer
author_facet Mat Nawi, Nazmi
Kamal, Md Rowshon
Chen, Guangnan
Jensen, Troy
author_sort Mat Nawi, Nazmi
title Prediction of sugarcane quality parameters using visible-shortwave near infrared spectroradiometer
title_short Prediction of sugarcane quality parameters using visible-shortwave near infrared spectroradiometer
title_full Prediction of sugarcane quality parameters using visible-shortwave near infrared spectroradiometer
title_fullStr Prediction of sugarcane quality parameters using visible-shortwave near infrared spectroradiometer
title_full_unstemmed Prediction of sugarcane quality parameters using visible-shortwave near infrared spectroradiometer
title_sort prediction of sugarcane quality parameters using visible-shortwave near infrared spectroradiometer
publisher Elsevier
publishDate 2014
url http://psasir.upm.edu.my/id/eprint/43187/1/Prediction%20of%20Sugarcane%20Quality%20Parameters%20Using%20Visible-shortwave%20Near%20Infrared%20Spectroradiometer.pdf
http://psasir.upm.edu.my/id/eprint/43187/
http://www.sciencedirect.com/science/article/pii/S2210784314000217
_version_ 1643833491841875968
score 13.211869

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