… hyperspectral imaging for prediction of chemical composition in lamb. ► We use spectral
features to predict … We develop and optimize multivariate prediction models. ► We select some …

… The large size and high dimensionality of hyperspectral images causes time-… NIR
hyperspectral images of cucumber seeds and extract the mean spectrum of each seed, (2) to predict …

… The feasibility of quantitative prediction and visual analysis of key physical and chemical …
of hyperspectral has not been evaluated. In summary, hyperspectral imaging technology has …

… Finally, the best model was utilized to visualize the spatial distribution of Fat (%) and … These
results suggest that hyperspectral imaging has great potential for predicting and visualizing …

… spectral and textural data of hyperspectral imaging (900–1700 … Subsequently, the prediction
models of partial least squares … To improve the prediction results of the models, the textural …

… using the fused LS-SVM model with image … and image information from hyperspectral
imaging coupled with the LS-SVM or PLSR algorithm could predict the TVB-N value and visualize …

… high-precision method for detecting and visualizing anthocyanin content of mulberry fruit
by using hyperspectral imaging. Visible near-infrared hyperspectral images of the fruits of two …

The feasibility of combining spectral and textural information from hyperspectral imaging to
improve the prediction of the C16:0 and C18:1 n9 contents for lamb was explored. 29 and 22 …

… This study combined hyperspectral imaging with chemometrics to predict potato starch
content. Two varieties of Kexin No.1 and Holland No.15 potatoes were used as experimental …

… beef was visualized using the best fused BP-ANN model with imaging … hyperspectral imaging
coupled with the BP-ANN algorithm has strong potential for the prediction and visualization …