Prediction of sugarcane quality from juice samples using portable spectroscopy
Rapid determination of sugarcane quality using low-cost and portable equipment is more practical for field use. Thus, this study explored the potential application of a portable visible and shortwave near infrared spectroradiometer (VNIRS) to predict pol and brix from sugarcane juice samples. A tota...
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| Format: | Article |
| Language: | English |
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Universiti Malaysia Pahang Publisher
2014
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| Online Access: | http://psasir.upm.edu.my/id/eprint/34993/1/Prediction%20of%20sugarcane%20quality%20from%20juice%20samples%20using%20portable%20spectroscopy.pdf |
| _version_ | 1825948558586544128 |
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| author | Mat Nawi, Nazmi Chen, Guangnan Jensen, Troy |
| author_facet | Mat Nawi, Nazmi Chen, Guangnan Jensen, Troy |
| author_sort | Mat Nawi, Nazmi |
| collection | UPM |
| description | Rapid determination of sugarcane quality using low-cost and portable equipment is more practical for field use. Thus, this study explored the potential application of a portable visible and shortwave near infrared spectroradiometer (VNIRS) to predict pol and brix from sugarcane juice samples. A total of 100 sugarcane juice samples for each clear and raw juice samples were assessed. The spectral data were collected by scanning the juice samples in a cuvette with 10 mm path length using transmittance mode. Partial least squares (PLS) and principal component analysis (PCA) were applied to interpret the spectra and develop both calibration and prediction models. The prediction performances for the clear juice samples were good with coefficient of determination (R2) values of pol and brix were 0.85 and 0.84, respectively. For the raw juice samples, the prediction performances were acceptable with R2 values for pol and brix were 0.73 and 0.74, respectively. Based on these results, it was concluded that the VNIRS combined with PLS models could be applied to predict sugarcane quality from both clear and raw sugarcane juices. |
| first_indexed | 2024-03-06T08:30:57Z |
| format | Article |
| id | upm.eprints-34993 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T08:30:57Z |
| publishDate | 2014 |
| publisher | Universiti Malaysia Pahang Publisher |
| record_format | dspace |
| spelling | upm.eprints-349932017-04-17T09:24:24Z http://psasir.upm.edu.my/id/eprint/34993/ Prediction of sugarcane quality from juice samples using portable spectroscopy Mat Nawi, Nazmi Chen, Guangnan Jensen, Troy Rapid determination of sugarcane quality using low-cost and portable equipment is more practical for field use. Thus, this study explored the potential application of a portable visible and shortwave near infrared spectroradiometer (VNIRS) to predict pol and brix from sugarcane juice samples. A total of 100 sugarcane juice samples for each clear and raw juice samples were assessed. The spectral data were collected by scanning the juice samples in a cuvette with 10 mm path length using transmittance mode. Partial least squares (PLS) and principal component analysis (PCA) were applied to interpret the spectra and develop both calibration and prediction models. The prediction performances for the clear juice samples were good with coefficient of determination (R2) values of pol and brix were 0.85 and 0.84, respectively. For the raw juice samples, the prediction performances were acceptable with R2 values for pol and brix were 0.73 and 0.74, respectively. Based on these results, it was concluded that the VNIRS combined with PLS models could be applied to predict sugarcane quality from both clear and raw sugarcane juices. Universiti Malaysia Pahang Publisher 2014-12 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/34993/1/Prediction%20of%20sugarcane%20quality%20from%20juice%20samples%20using%20portable%20spectroscopy.pdf Mat Nawi, Nazmi and Chen, Guangnan and Jensen, Troy (2014) Prediction of sugarcane quality from juice samples using portable spectroscopy. Journal of Mechanical Engineering and Sciences, 7. pp. 1219-1226. ISSN 2289-4659; ESSN: 2231-8380 http://jmes.ump.edu.my/index.php/archive/volume-7-december-2014.html |
| spellingShingle | Mat Nawi, Nazmi Chen, Guangnan Jensen, Troy Prediction of sugarcane quality from juice samples using portable spectroscopy |
| title | Prediction of sugarcane quality from juice samples using portable spectroscopy |
| title_full | Prediction of sugarcane quality from juice samples using portable spectroscopy |
| title_fullStr | Prediction of sugarcane quality from juice samples using portable spectroscopy |
| title_full_unstemmed | Prediction of sugarcane quality from juice samples using portable spectroscopy |
| title_short | Prediction of sugarcane quality from juice samples using portable spectroscopy |
| title_sort | prediction of sugarcane quality from juice samples using portable spectroscopy |
| url | http://psasir.upm.edu.my/id/eprint/34993/1/Prediction%20of%20sugarcane%20quality%20from%20juice%20samples%20using%20portable%20spectroscopy.pdf |
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