Nondestructive prediction of lime acidity with a single scan using two types of near infrared spectrometers and ensemble learning strategy

Li, Pao; Dong, Yiqing; Jiang, Liwen; Du, Guorong; Shan, Yang

doi:10.1016/j.jfoodeng.2023.111917

Journal of Food Engineering

2024

DOI: 10.1016/j.jfoodeng.2023.111917

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Nondestructive prediction of lime acidity with a single scan using two types of near infrared spectrometers and ensemble learning strategy

Pao Li,

Yiqing Dong,

Liwen Jiang

et al.

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Cited by 3 publications

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Nondestructive prediction of lime acidity with a single scan using two types of near infrared spectrometers and ensemble learning strategy

Cited by 3 publications

References 21 publications

Simultaneous and non-destructive prediction of multiple internal quality characteristics in mandarin citrus with near-infrared spectroscopy and ensemble learning strategy

Simultaneous and non-destructive prediction of multiple internal quality characteristics in mandarin citrus with near-infrared spectroscopy and ensemble learning strategy

Nondestructive freshness evaluation of mackerel fish using Vis/NIR hyperspectral imaging and multivariate analysis

Research on nondestructive detection of sweet-waxy corn seed varieties and mildew based on stacked ensemble learning and hyperspectral feature fusion technology

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