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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...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
में प्रकाशित:Food Sci Biotechnol
मुख्य लेखकों: Heo, Suhyeon, Choi, Ji-Young, Kim, Jiyoon, Moon, Kwang-Deog
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: Springer Singapore 2021
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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