Product Quality Estimation of Sago (Metroxylon sagu) Based on Hyperspectral Imaging and Multivariate Image Analysis
| dc.contributor.author | Lee, Ming Hao | |
| dc.contributor.supervisor | Agus Saptoro | en_US |
| dc.contributor.supervisor | King Hann Lim | en_US |
| dc.contributor.supervisor | Tuong-Thuy Vu | en_US |
| dc.date.accessioned | 2024-03-25T05:48:14Z | |
| dc.date.available | 2024-03-25T05:48:14Z | |
| dc.date.issued | 2024 | en_US |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/94588 | |
| dc.description.abstract |
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. | en_US |
| dc.publisher | Curtin University | en_US |
| dc.title | Product Quality Estimation of Sago (Metroxylon sagu) Based on Hyperspectral Imaging and Multivariate Image Analysis | en_US |
| dc.type | Thesis | en_US |
| dcterms.educationLevel | PhD | en_US |
| curtin.department | Curtin Malaysia | en_US |
| curtin.accessStatus | Fulltext not available | en_US |
| curtin.faculty | Curtin Malaysia | en_US |
| curtin.contributor.orcid | Lee, Ming Hao [0000-0001-8583-1804] | en_US |
| dc.date.embargoEnd | 2026-02-19 |