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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...
में बचाया:
| में प्रकाशित: | Food Sci Biotechnol |
|---|---|
| मुख्य लेखकों: | , , , |
| स्वरूप: | Artigo |
| भाषा: | Inglês |
| प्रकाशित: |
Springer Singapore
2021
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| विषय: | |
| ऑनलाइन पहुंच: | 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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