Multistage Fourier Volumetric Attention Transformer for Hyperspectral Reconstruction and Physicochemical Quality Prediction of Brewing Sorghum

Hyperspectral imaging combined with data fusion for non-destructive prediction of soluble solids content and water-soluble sugars in strawberries during storage after static-pressure bruising.

A novel microscopic hyperspectral imaging detection method for quantitative powdered food adulteration assessment: A comparative study of CNN-RNN attention models.

The results demonstrate the potential of MHSI coupled with deep learning for quantitative adulteration analysis and provide a promising analytical strategy for the quality control of lotus root powder and other high-value powdered food products.

Hyperspectral Imaging-Based Rapid Assessment of Chinese Yam Quality for Dried Slice Processing

Chinese yam (Dioscorea spp.) is widely used as food and traditional medicine, but varietal differences may affect dried yam slice quality. This study compared ten Chinese yam varieties, examined relationships between raw-material quality indicators and dried yam slice quality, and evaluated hyperspectral imaging for ra...

Detection of Frost‐Damaged Maize Kernels for Food Quality Screening Using Hyperspectral Imaging and 2D‐COS‐Assisted Deep Learning

ABSTRACT Maize is a crucial cereal crop susceptible to subzero temperature stress, which causes physicochemical damage to kernels and compromises their processing quality and food value. Traditional analytical methods are destructive, labor‐intensive, and unable to meet the requirements of rapid and high‐throughput qua...

Nondestructive evaluation of strawberry freshness and quantitative analysis of blue light irradiation effects using hyperspectral imaging and machine learning.

The rapid degradation of strawberry freshness poses a significant challenge for quality control in the supply chain. However, traditional evaluation methods are inherently destructive, time-consuming, and fundamentally subjective due to the absence of a universal gold standard, thereby hindering real-time monitoring. H...

Non-Destructive Three-Grade Assessment of Pepper Sunscald Using Hyperspectral Imaging and Spectral Feature Fusion Strategy

Pepper production in southern Xinjiang, China, is severely constrained by sunscald, a non-infectious physiological disorder caused by intense solar radiation and high temperatures that compromises fruit quality and yield stability. This study proposes a complementary multi-feature fusion framework integrating Principal...