Improving moisture and soluble solids content prediction in pear fruit using near-infrared spectroscopy with variable selection and model updating approach
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Title
Improving moisture and soluble solids content prediction in pear fruit using near-infrared spectroscopy with variable selection and model updating approach
Authors
Keywords
Interval partial least-squares regression, Covariate selection, Chemometric, Non-destructive, Fruit-quality
Journal
POSTHARVEST BIOLOGY AND TECHNOLOGY
Volume 171, Issue -, Pages 111348
Publisher
Elsevier BV
Online
2020-09-25
DOI
10.1016/j.postharvbio.2020.111348
References
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