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Prediction of moisture content in steamed and dried purple sweet potato using hyperspectral imaging analysis
Partial least squares regression (PLSR) modeling was performed to predict the moisture content in steamed, dried purple sweet potato based on spectral data obtained from hyperspectral imaging analysis. The PLSR model with a combination of multiplicative scatter correction, Savitzky–Golay, and first...
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| Publicado no: | Food Sci Biotechnol |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer Singapore
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8225792/ https://ncbi.nlm.nih.gov/pubmed/34249383 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10068-021-00921-z |
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