A review on hybrid strategy-based wavelength selection methods in analysis of near-infrared spectral data

J Fu, HD Yu, Z Chen, YH Yun - Infrared Physics & Technology, 2022 - Elsevier
Wavelength (variable) selection is considered as a means of solving the curse of
dimensionality, which is an important step in multivariate calibration of near-infrared spectra …

Advances in machine learning and hyperspectral imaging in the food supply chain

Z Kang, Y Zhao, L Chen, Y Guo, Q Mu… - Food Engineering …, 2022 - Springer
Food quality and safety are the essential hot issues of social concern. In recent years, there
has been a growing demand for real-time food information, and non-destructive testing is …

[HTML][HTML] Combining Vis-NIR and NIR hyperspectral imaging techniques with a data fusion strategy for the rapid qualitative evaluation of multiple qualities in chicken

X Li, M Cai, M Li, X Wei, Z Liu, J Wang, K Jia, Y Han - Food Control, 2023 - Elsevier
Total volatile basic nitrogen (TVB-N) and total viable count (TVC) are two important
indicators for evaluating and controlling the quality and safety of chicken fillets. The aim of …

Rapid evaluation of texture parameters of Tan mutton using hyperspectral imaging with optimization algorithms

J Zhang, Y Ma, G Liu, N Fan, Y Li, Y Sun - Food Control, 2022 - Elsevier
The detection of meat texture is of great value because it is the key factor that drives
consumer purchasing decisions. In this study, a hyperspectral imaging (HSI) system was …

[HTML][HTML] Recent trends of machine learning applied to multi-source data of medicinal plants

Y Zhang, Y Wang - Journal of Pharmaceutical Analysis, 2023 - Elsevier
In traditional medicine and ethnomedicine, medicinal plants have long been recognized as
the basis for materials in therapeutic applications worldwide. In particular, the remarkable …

Nondestructive visualization and quantification of total acid and reducing sugar contents in fermented grains by combining spectral and color data through …

X Jiang, J Tian, H Huang, X Hu, L Han, D Huang… - Food Chemistry, 2022 - Elsevier
Total acid content (TAC) and reducing sugar content (RSC) are important evaluation
indicators for the quality of fermented grains. In this study, the TAC and RSC of fermented …

Soil carbon content prediction using multi-source data feature fusion of deep learning based on spectral and hyperspectral images

X Li, Z Li, H Qiu, G Chen, P Fan - Chemosphere, 2023 - Elsevier
Visible near-infrared reflectance spectroscopy (VNIR) and hyperspectral images (HSI) have
their respective advantages in soil carbon content prediction, and the effective fusion of …

[HTML][HTML] Fusing spectral and image information for characterization of black tea grade based on hyperspectral technology

Y Yin, J Li, C Ling, S Zhang, C Liu, X Sun, J Wu - LWT, 2023 - Elsevier
Tea grade evaluation plays an important role in detecting the quality of tea. In this work, we
proposed a method for black tea grade discrimination, which is based on the hyperspectral …

Hyperspectral imaging technology coupled with human sensory information to evaluate the fermentation degree of black tea

T An, W Huang, XI Tian, S Fan, D Duan, C Dong… - Sensors and Actuators B …, 2022 - Elsevier
Hitherto, the intelligent evaluation of black tea fermentation is still an unsolved problem
because it is difficult to obtain the complicated changes information of tea composition, color …

A combination of near-infrared hyperspectral imaging with two-dimensional correlation analysis for monitoring the content of alanine in beef

F Dong, Y Bi, J Hao, S Liu, Y Lv, J Cui, S Wang, Y Han… - Biosensors, 2022 - mdpi.com
Alanine (Ala), as the most important free amino acid, plays a significant role in food taste
characteristics and human health regulation. The feasibility of using near–infrared …