Citation
Boonyapisomparn K., . and Khuwijitjaru P., . and Huck C. W., . Near-infrared spectroscopy with linear discriminant analysis for green Robusta coffee bean sorting. pp. 287-294. ISSN 2231-7546
Abstract
The present work investigated the feasibility of near-infrared (NIR) spectroscopy for separation of good quality green Robusta coffee beans from defective (broken beans beans with parchment and beans with husk) and contaminated beans (faecal matter and soil) by single bean measurement. Linear discriminant analysis using principal components from principal component analysis (PCA-LDA) as variables was used as a supervised method for the classification. It was found that smoothing pre-treatment applied to the spectra was suitable for the classification with the highest classification accuracy of 97.5. The present work indicated that NIR spectroscopy coupled with appropriate chemometric methods could be an efficient tool for coffee bean sorting.
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Abstract
The present work investigated the feasibility of near-infrared (NIR) spectroscopy for separation of good quality green Robusta coffee beans from defective (broken beans beans with parchment and beans with husk) and contaminated beans (faecal matter and soil) by single bean measurement. Linear discriminant analysis using principal components from principal component analysis (PCA-LDA) as variables was used as a supervised method for the classification. It was found that smoothing pre-treatment applied to the spectra was suitable for the classification with the highest classification accuracy of 97.5. The present work indicated that NIR spectroscopy coupled with appropriate chemometric methods could be an efficient tool for coffee bean sorting.
Additional Metadata
| Item Type: | Article |
|---|---|
| AGROVOC Term: | Near infrared spectrophotometry |
| AGROVOC Term: | Robusta coffee |
| AGROVOC Term: | Coffee beans |
| AGROVOC Term: | Sampling |
| AGROVOC Term: | Discriminant analysis |
| AGROVOC Term: | Spectral analysis |
| AGROVOC Term: | Data analysis |
| AGROVOC Term: | Component analysis (statistics) |
| AGROVOC Term: | Food products |
| AGROVOC Term: | Product quality |
| Depositing User: | Mr. AFANDI ABDUL MALEK |
| Last Modified: | 24 Apr 2025 00:54 |
| URI: | http://webagris.upm.edu.my/id/eprint/8996 |
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