Robust PLS models for soluble solids content and firmness determination in low chilling peach using near-infrared spectroscopy (NIR)

Paloma Andrade Martins Nascimento; Lívia Cirino de Carvalho; Luís Carlos Cunha; Fabíola Manhas Verbi Pereira; Gustavo Henrique de Almeida Teixeira

doi:10.1016/j.postharvbio.2015.08.006

JOURNAL ARTICLE

Robust PLS models for soluble solids content and firmness determination in low chilling peach using near-infrared spectroscopy (NIR)

Paloma Andrade Martins Nascimento Lívia Cirino de Carvalho Luís Carlos Cunha Fabíola Manhas Verbi Pereira Gustavo Henrique de Almeida Teixeira

Year: 2015 Journal: Postharvest Biology and Technology Vol: 111 Pages: 345-351 Publisher: Elsevier BV

DOI: 10.1016/j.postharvbio.2015.08.006

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Keywords:

Cultivar Near-infrared spectroscopy Coefficient of determination Horticulture Mean squared error Mathematics Partial least squares regression Robustness (evolution) Chemistry Botany Statistics Biology

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Spectroscopy and Chemometric Analyses

Physical Sciences → Chemistry → Analytical Chemistry

Postharvest Quality and Shelf Life Management

Life Sciences → Agricultural and Biological Sciences → Plant Science

Horticultural and Viticultural Research

Life Sciences → Agricultural and Biological Sciences → Plant Science

Robust PLS models for soluble solids content and firmness determination in low chilling peach using near-infrared spectroscopy (NIR)

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