Product Quality Estimation of Sago (Metroxylon sagu) Based on Hyperspectral Imaging and Multivariate Image Analysis
The quality monitoring process for sago often relies on traditional lab instruments, seen as complex, expensive, and time-consuming. To tackle such issues, this project, therefore, aims to develop an efficient sago quality estimator based on hyperspectral imaging (HSI) with multivariate analysis. Th...
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| Format: | Thesis |
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Curtin University
2024
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| Online Access: | http://hdl.handle.net/20.500.11937/94588 |
| _version_ | 1848765882134691840 |
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| author | Lee, Ming Hao |
| author_facet | Lee, Ming Hao |
| author_sort | Lee, Ming Hao |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The quality monitoring process for sago often relies on traditional lab instruments, seen as complex, expensive, and time-consuming. To tackle such issues, this project, therefore, aims to develop an efficient sago quality estimator based on hyperspectral imaging (HSI) with multivariate analysis. The newly proposed Adaptive 1D-ConvNet architecture developed one of the best-performing models, achieving Rp2 of 0.9410 to 0.9981 and RPD of 4.11 to 32.08. In conclusion, the HSI combined with multivariate analysis proved effective as a rapid, reliable, and cost-effective sago quality estimator. |
| first_indexed | 2025-11-14T11:42:18Z |
| format | Thesis |
| id | curtin-20.500.11937-94588 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:42:18Z |
| publishDate | 2024 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-945882024-03-25T05:48:14Z Product Quality Estimation of Sago (Metroxylon sagu) Based on Hyperspectral Imaging and Multivariate Image Analysis Lee, Ming Hao The quality monitoring process for sago often relies on traditional lab instruments, seen as complex, expensive, and time-consuming. To tackle such issues, this project, therefore, aims to develop an efficient sago quality estimator based on hyperspectral imaging (HSI) with multivariate analysis. The newly proposed Adaptive 1D-ConvNet architecture developed one of the best-performing models, achieving Rp2 of 0.9410 to 0.9981 and RPD of 4.11 to 32.08. In conclusion, the HSI combined with multivariate analysis proved effective as a rapid, reliable, and cost-effective sago quality estimator. 2024 Thesis http://hdl.handle.net/20.500.11937/94588 Curtin University restricted |
| spellingShingle | Lee, Ming Hao Product Quality Estimation of Sago (Metroxylon sagu) Based on Hyperspectral Imaging and Multivariate Image Analysis |
| title | Product Quality Estimation of Sago (Metroxylon sagu) Based on Hyperspectral Imaging and Multivariate Image Analysis |
| title_full | Product Quality Estimation of Sago (Metroxylon sagu) Based on Hyperspectral Imaging and Multivariate Image Analysis |
| title_fullStr | Product Quality Estimation of Sago (Metroxylon sagu) Based on Hyperspectral Imaging and Multivariate Image Analysis |
| title_full_unstemmed | Product Quality Estimation of Sago (Metroxylon sagu) Based on Hyperspectral Imaging and Multivariate Image Analysis |
| title_short | Product Quality Estimation of Sago (Metroxylon sagu) Based on Hyperspectral Imaging and Multivariate Image Analysis |
| title_sort | product quality estimation of sago (metroxylon sagu) based on hyperspectral imaging and multivariate image analysis |
| url | http://hdl.handle.net/20.500.11937/94588 |