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References from Quantitative prediction of moisture, fat, and protein contents and qualitative discrimination of storage time in yuba: Based on hyperspectral imaging technology. Local targets link to admitted publications; unresolved targets remain external evidence.
Detection of defective cocoa beans using machine learning techniques and NIR spectral data fusion
10.1016/j.saa.2026.127792 · 2026 · External reference
A non-destructive determination of peroxide values, total nitrogen and mineral nutrients in an edible tree nut using hyperspectral imaging
10.1016/j.compag.2018.06.029 · 2018 · External reference
Near-infrared (NIR) spectroscopy for motor oil classification: From discriminant analysis to support vector machines
10.1016/j.microc.2010.12.007 · 2011 · External reference
Dynamic patterns of quality deterioration, oxidative stability, and flavor evolution in yuba during long-term storage
10.1016/j.fochx.2025.102760 · 2025 · External reference
Hyperspectral imaging combined with convolutional neural network for pu’er ripe tea origin recognition
10.1016/j.jfca.2024.107093 · 2025 · External reference
Non-destructive quality classification of rice taste properties based on near-infrared spectroscopy and machine learning algorithms
10.1016/j.foodchem.2023.136907 · 2023 · External reference
Classification of tea quality levels using near-infrared spectroscopy based on CLPSO-SVM
10.3390/foods11111658 · 2022 · External reference
10.1016/j.chemolab.2008.07.010
10.1016/j.chemolab.2008.07.010 · 2009 · External reference
Identification of unfertilized duck eggs before hatching using visible/near infrared transmittance spectroscopy
10.1016/j.compag.2019.01.021 · 2019 · External reference
Using near-infrared spectroscopy to determine moisture content, gel strength, and viscosity of gelatin
10.1016/j.foodhyd.2021.106627 · 2021 · External reference
Comparison of near-infrared and Mid-Infrared spectroscopy for the identification and quantification of argan oil adulteration through PCA, PLS-DA and PLS
10.1016/j.foodcont.2024.110671 · 2024 · External reference
Maturity classification of rapeseed using hyperspectral image combined with machine learning
10.34133/plantphenomics.0139 · 2024 · External reference
Simultaneous quantifying and visualizing moisture, ash and protein distribution in sweet potato [ipomoea batatas (L.) lam] by NIR hyperspectral imaging
10.1016/j.fochx.2023.100631 · 2023 · External reference
Rapid determination of reducing sugar content in sweet potatoes using NIR spectra
10.1016/j.jfca.2022.104641 · 2022 · External reference
Detection of the amylose and amylopectin contents of rice by hyperspectral imaging combined with a CNN-AdaBoost model
10.1016/j.jfca.2025.107468 · 2025 · External reference
Simultaneous determination of rice adulteration with aged rice and paraffin contaminated rice by hyperspectral imaging
10.1016/j.jfca.2025.108601 · 2025 · External reference
Classification of maize seeds of different years based on hyperspectral imaging and model updating
10.1016/j.compag.2016.01.029 · 2016 · External reference
Quantitative inversion model of protein and fat content in milk based on hyperspectral techniques
10.1016/j.idairyj.2022.105467 · 2022 · External reference
Evaluating ripeness in post-harvest stored kiwifruit using VIS-NIR hyperspectral imaging
10.1016/j.postharvbio.2025.113496 · 2025 · External reference
Geographic traceability of gastrodia elata blum based on combination of NIRS and chemometrics
2025 · External reference
A nondestructive detection method for the muti-quality attributes of oats using near-infrared spectroscopy
10.3390/foods13223560 · 2024 · External reference
Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: A review
10.1016/j.postharvbio.2007.06.024 · 2007 · External reference
Classification of fermented cocoa beans (cut test) using computer vision
10.1016/j.jfca.2020.103771 · 2021 · External reference
Rapid and noninvasive sensory analyses of food products by hyperspectral imaging: Recent application developments
10.1016/j.tifs.2021.02.044 · 2021 · External reference
Quality detection of common beans flour using hyperspectral imaging technology: Potential of machine learning and deep learning
10.1016/j.jfca.2025.107424 · 2025 · External reference
A new quantitative index for the assessment of tomato quality using vis-NIR hyperspectral imaging
10.1016/j.foodchem.2022.132864 · 2022 · External reference
Simultaneous detection for storage condition and storage time of yellow peach under different storage conditions using hyperspectral imaging with multi-target characteristic selection and multi-task model
10.1016/j.jfca.2024.106647 · 2024 · External reference
Non-destructive detection of moisture and fatty acid content in rice using hyperspectral imaging and chemometrics
10.1016/j.jfca.2023.105397 · 2023 · External reference
Rapid and nondestructive identification of rice storage year using hyperspectral technology
10.1016/j.foodcont.2024.110850 · 2025 · External reference
The qualitative and quantitative analysis of industrial paraffin contamination levels in rice using spectral pretreatment combined with machine learning models
10.1016/j.jfca.2023.105430 · 2023 · External reference
Several feature extraction methods combined with near-infrared spectroscopy for identifying the geographical origins of milk
10.3390/foods13111783 · 2024 · External reference
Classification of fritillaria using a portable near-infrared spectrometer and fuzzy generalized singular value decomposition
10.1016/j.indcrop.2024.119032 · 2024 · External reference
Deep learning-based regression of food quality attributes using near-infrared spectroscopy and hyperspectral imaging: A review
10.1016/j.foodchem.2025.145932 · 2025 · External reference
Rapid detection method of Pleurotus eryngii mycelium based on near infrared spectral characteristics
10.1016/j.saa.2022.120919 · 2022 · External reference
A novel spectral correction method for eliminating shell interference and improving NIR detection accuracy of internal defect in Torreya grandis nuts
10.1016/j.foodres.2026.118629 · 2026 · External reference
New Zealand honey botanical origin classification with hyperspectral imaging
10.1016/j.jfca.2022.104511 · 2022 · External reference
Prediction of oil content in single maize kernel based on hyperspectral imaging and attention convolution neural network
10.1016/j.foodchem.2022.133563 · 2022 · External reference
Rapid determination of the fat, moisture, and protein contents in homogenized chicken eggs based on near-infrared reflectance spectroscopy
10.3382/ps/pey070 · 2018 · External reference
10.1016/j.chemolab.2008.07.010
10.1016/j.chemolab.2008.07.010 · ExternalCitation · doi-reference
Classification of maize seeds of different years based on hyperspectral imaging and model updating
10.1016/j.compag.2016.01.029 · ExternalCitation · doi-reference
A non-destructive determination of peroxide values, total nitrogen and mineral nutrients in an edible tree nut using hyperspectral imaging
10.1016/j.compag.2018.06.029 · ExternalCitation · doi-reference
Identification of unfertilized duck eggs before hatching using visible/near infrared transmittance spectroscopy
10.1016/j.compag.2019.01.021 · ExternalCitation · doi-reference
Simultaneous quantifying and visualizing moisture, ash and protein distribution in sweet potato [ipomoea batatas (L.) lam] by NIR hyperspectral imaging
10.1016/j.fochx.2023.100631 · ExternalCitation · doi-reference
Dynamic patterns of quality deterioration, oxidative stability, and flavor evolution in yuba during long-term storage
10.1016/j.fochx.2025.102760 · ExternalCitation · doi-reference
A new quantitative index for the assessment of tomato quality using vis-NIR hyperspectral imaging
10.1016/j.foodchem.2022.132864 · ExternalCitation · doi-reference
Prediction of oil content in single maize kernel based on hyperspectral imaging and attention convolution neural network
10.1016/j.foodchem.2022.133563 · ExternalCitation · doi-reference
Non-destructive quality classification of rice taste properties based on near-infrared spectroscopy and machine learning algorithms
10.1016/j.foodchem.2023.136907 · ExternalCitation · doi-reference
Deep learning-based regression of food quality attributes using near-infrared spectroscopy and hyperspectral imaging: A review
10.1016/j.foodchem.2025.145932 · ExternalCitation · doi-reference
Comparison of near-infrared and Mid-Infrared spectroscopy for the identification and quantification of argan oil adulteration through PCA, PLS-DA and PLS
10.1016/j.foodcont.2024.110671 · ExternalCitation · doi-reference
Rapid and nondestructive identification of rice storage year using hyperspectral technology
10.1016/j.foodcont.2024.110850 · ExternalCitation · doi-reference
Using near-infrared spectroscopy to determine moisture content, gel strength, and viscosity of gelatin
10.1016/j.foodhyd.2021.106627 · ExternalCitation · doi-reference
A novel spectral correction method for eliminating shell interference and improving NIR detection accuracy of internal defect in Torreya grandis nuts
10.1016/j.foodres.2026.118629 · ExternalCitation · doi-reference
Quantitative inversion model of protein and fat content in milk based on hyperspectral techniques
10.1016/j.idairyj.2022.105467 · ExternalCitation · doi-reference
Classification of fritillaria using a portable near-infrared spectrometer and fuzzy generalized singular value decomposition
10.1016/j.indcrop.2024.119032 · ExternalCitation · doi-reference
Classification of fermented cocoa beans (cut test) using computer vision
10.1016/j.jfca.2020.103771 · ExternalCitation · doi-reference
New Zealand honey botanical origin classification with hyperspectral imaging
10.1016/j.jfca.2022.104511 · ExternalCitation · doi-reference
Rapid determination of reducing sugar content in sweet potatoes using NIR spectra
10.1016/j.jfca.2022.104641 · ExternalCitation · doi-reference
Non-destructive detection of moisture and fatty acid content in rice using hyperspectral imaging and chemometrics
10.1016/j.jfca.2023.105397 · ExternalCitation · doi-reference
The qualitative and quantitative analysis of industrial paraffin contamination levels in rice using spectral pretreatment combined with machine learning models
10.1016/j.jfca.2023.105430 · ExternalCitation · doi-reference
Simultaneous detection for storage condition and storage time of yellow peach under different storage conditions using hyperspectral imaging with multi-target characteristic selection and multi-task model
10.1016/j.jfca.2024.106647 · ExternalCitation · doi-reference
Hyperspectral imaging combined with convolutional neural network for pu’er ripe tea origin recognition
10.1016/j.jfca.2024.107093 · ExternalCitation · doi-reference
Quality detection of common beans flour using hyperspectral imaging technology: Potential of machine learning and deep learning
10.1016/j.jfca.2025.107424 · ExternalCitation · doi-reference
Detection of the amylose and amylopectin contents of rice by hyperspectral imaging combined with a CNN-AdaBoost model
10.1016/j.jfca.2025.107468 · ExternalCitation · doi-reference
Simultaneous determination of rice adulteration with aged rice and paraffin contaminated rice by hyperspectral imaging
10.1016/j.jfca.2025.108601 · ExternalCitation · doi-reference
Near-infrared (NIR) spectroscopy for motor oil classification: From discriminant analysis to support vector machines
10.1016/j.microc.2010.12.007 · ExternalCitation · doi-reference
Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: A review
10.1016/j.postharvbio.2007.06.024 · ExternalCitation · doi-reference
Evaluating ripeness in post-harvest stored kiwifruit using VIS-NIR hyperspectral imaging
10.1016/j.postharvbio.2025.113496 · ExternalCitation · doi-reference
Rapid detection method of Pleurotus eryngii mycelium based on near infrared spectral characteristics
10.1016/j.saa.2022.120919 · ExternalCitation · doi-reference
Detection of defective cocoa beans using machine learning techniques and NIR spectral data fusion
10.1016/j.saa.2026.127792 · ExternalCitation · doi-reference
Rapid and noninvasive sensory analyses of food products by hyperspectral imaging: Recent application developments
10.1016/j.tifs.2021.02.044 · ExternalCitation · doi-reference
Rapid determination of the fat, moisture, and protein contents in homogenized chicken eggs based on near-infrared reflectance spectroscopy
10.3382/ps/pey070 · ExternalCitation · doi-reference
Classification of tea quality levels using near-infrared spectroscopy based on CLPSO-SVM
10.3390/foods11111658 · ExternalCitation · doi-reference
Several feature extraction methods combined with near-infrared spectroscopy for identifying the geographical origins of milk
10.3390/foods13111783 · ExternalCitation · doi-reference
A nondestructive detection method for the muti-quality attributes of oats using near-infrared spectroscopy
10.3390/foods13223560 · ExternalCitation · doi-reference
Maturity classification of rapeseed using hyperspectral image combined with machine learning
10.34133/plantphenomics.0139 · ExternalCitation · doi-reference
