Comparison of chemometrics methods for classification of sugarcane brix using visible and shortwave near-infrared technology
The potential of visible and shortwave near-infrared (VSWNIR) diffuse reflectance spectroscopy in the range of 400 to 1000 nm, in combination with three classifier algorithm techniques, was investigated to classify sugarcane quality into three quality classes (high, medium and low). Two hundred and...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
Faculty of Engineering, Universiti Putra Malaysia
2016
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| Online Access: | http://psasir.upm.edu.my/id/eprint/50109/ http://psasir.upm.edu.my/id/eprint/50109/1/14.pdf |
| _version_ | 1848851463470579712 |
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| author | Ishkandar, C. D. M. Mat Nawi, Nazmi Chen, Guangnan Jensen, Troy Mehdizadeh, Saman Abdanan |
| author_facet | Ishkandar, C. D. M. Mat Nawi, Nazmi Chen, Guangnan Jensen, Troy Mehdizadeh, Saman Abdanan |
| author_sort | Ishkandar, C. D. M. |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | The potential of visible and shortwave near-infrared (VSWNIR) diffuse reflectance spectroscopy in the range of 400 to 1000 nm, in combination with three classifier algorithm techniques, was investigated to classify sugarcane quality into three quality classes (high, medium and low). Two hundred and ninety sugarcane internode samples were used to evaluate the ability of this technology. Each internode sample was scanned at four scanning points to obtain the spectral data which was later correlated with its sugar content (Brix value). The Brix values were later classified using three classifier algorithms namely Bayesian discriminant analysis (BDA), artificial neural network (ANN) and support vector machine (SVM). The results shows that the overall classification accuracies achieved by BDA, SVM and ANN were 77.8, 83.1 and 88.7% respectively. The results demonstrated that the VSWNIR spectroscopy together with chemometrics techniques could be a rapid tool to be used for classification of sugarcane quality based on spectral data. |
| first_indexed | 2025-11-15T10:22:35Z |
| format | Conference or Workshop Item |
| id | upm-50109 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:22:35Z |
| publishDate | 2016 |
| publisher | Faculty of Engineering, Universiti Putra Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-501092017-02-01T05:06:39Z http://psasir.upm.edu.my/id/eprint/50109/ Comparison of chemometrics methods for classification of sugarcane brix using visible and shortwave near-infrared technology Ishkandar, C. D. M. Mat Nawi, Nazmi Chen, Guangnan Jensen, Troy Mehdizadeh, Saman Abdanan The potential of visible and shortwave near-infrared (VSWNIR) diffuse reflectance spectroscopy in the range of 400 to 1000 nm, in combination with three classifier algorithm techniques, was investigated to classify sugarcane quality into three quality classes (high, medium and low). Two hundred and ninety sugarcane internode samples were used to evaluate the ability of this technology. Each internode sample was scanned at four scanning points to obtain the spectral data which was later correlated with its sugar content (Brix value). The Brix values were later classified using three classifier algorithms namely Bayesian discriminant analysis (BDA), artificial neural network (ANN) and support vector machine (SVM). The results shows that the overall classification accuracies achieved by BDA, SVM and ANN were 77.8, 83.1 and 88.7% respectively. The results demonstrated that the VSWNIR spectroscopy together with chemometrics techniques could be a rapid tool to be used for classification of sugarcane quality based on spectral data. Faculty of Engineering, Universiti Putra Malaysia 2016 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/50109/1/14.pdf Ishkandar, C. D. M. and Mat Nawi, Nazmi and Chen, Guangnan and Jensen, Troy and Mehdizadeh, Saman Abdanan (2016) Comparison of chemometrics methods for classification of sugarcane brix using visible and shortwave near-infrared technology. In: 3rd International Conference on Agricultural and Food Engineering (CAFEi 2016), 23-25 Aug. 2016, Seri Pacific Hotel, Kuala Lumpur, Malaysia. (pp. 214-219). http://cafei.upm.edu.my/home.php?&value=2016 |
| spellingShingle | Ishkandar, C. D. M. Mat Nawi, Nazmi Chen, Guangnan Jensen, Troy Mehdizadeh, Saman Abdanan Comparison of chemometrics methods for classification of sugarcane brix using visible and shortwave near-infrared technology |
| title | Comparison of chemometrics methods for classification of sugarcane brix using visible and shortwave near-infrared technology |
| title_full | Comparison of chemometrics methods for classification of sugarcane brix using visible and shortwave near-infrared technology |
| title_fullStr | Comparison of chemometrics methods for classification of sugarcane brix using visible and shortwave near-infrared technology |
| title_full_unstemmed | Comparison of chemometrics methods for classification of sugarcane brix using visible and shortwave near-infrared technology |
| title_short | Comparison of chemometrics methods for classification of sugarcane brix using visible and shortwave near-infrared technology |
| title_sort | comparison of chemometrics methods for classification of sugarcane brix using visible and shortwave near-infrared technology |
| url | http://psasir.upm.edu.my/id/eprint/50109/ http://psasir.upm.edu.my/id/eprint/50109/ http://psasir.upm.edu.my/id/eprint/50109/1/14.pdf |