Articles with "nir hyperspectral" as a keyword



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Detection of sprout damage in wheat kernels using NIR hyperspectral imaging

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Published in 2018 at "Biosystems Engineering"

DOI: 10.1016/j.biosystemseng.2018.09.012

Abstract: The use of near-infrared (NIR) hyperspectral imaging (HSI) for detecting sprout damage in wheat kernels was investigated. Experiments were carried out to determine which spectral bands had the best potential for discriminating between sound and… read more here.

Keywords: sprout damage; hyperspectral imaging; wheat kernels; wheat ... See more keywords
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Chemometrics in tandem with near infrared (NIR) hyperspectral imaging and Fourier transform mid infrared (FT-MIR) microspectroscopy for variety identification and cooking loss determination of sweet potato

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Published in 2019 at "Biosystems Engineering"

DOI: 10.1016/j.biosystemseng.2019.01.005

Abstract: Near infrared (NIR) hyperspectral imaging and Fourier transform mid infrared (FT-MIR) microspectroscopy were explored in the current study to investigate how constituent elements of sweet potato change during cooking, and in the meantime, to identify… read more here.

Keywords: hyperspectral imaging; near infrared; model; sweet potato ... See more keywords
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Authentication of cocoa (Theobroma cacao) bean hybrids by NIR-hyperspectral imaging and chemometrics

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Published in 2020 at "Food Control"

DOI: 10.1016/j.foodcont.2020.107445

Abstract: Abstract The hybridization of cocoa generates new varieties with the aim of opening new flavors, textures, and disease resistance. The objective of this study was to develop and validate classification models based on NIR hyperspectral… read more here.

Keywords: hyperspectral imaging; imaging chemometrics; nir hyperspectral; cocoa ... See more keywords
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Calibration of SilviScan data of Cryptomeria japonica wood concerning density and microfibril angles with NIR hyperspectral imaging with high spatial resolution

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Published in 2017 at "Holzforschung"

DOI: 10.1515/hf-2016-0153

Abstract: Abstract Wood density and microfibril angle (MFA) are strongly correlated with wood stiffness, swelling/shrinkage, and its anisotropy. Understanding the spatial distribution of these data is critical for solid timber applications. In this study, near-infrared (NIR)… read more here.

Keywords: hyperspectral imaging; density microfibril; density; cryptomeria japonica ... See more keywords
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Nondestructive Detection of Codling Moth Infestation in Apples Using Pixel-Based NIR Hyperspectral Imaging with Machine Learning and Feature Selection

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Published in 2021 at "Foods"

DOI: 10.3390/foods11010008

Abstract: Codling moth (CM) (Cydia pomonella L.), a devastating pest, creates a serious issue for apple production and marketing in apple-producing countries. Therefore, effective nondestructive early detection of external and internal defects in CM-infested apples could… read more here.

Keywords: codling moth; machine learning; infestation; selection ... See more keywords