Recent Developments in Hyperspectral Imaging for Assessment of Food Quality and Safety
By Hui Huang, Li Liu, Michael O. Ngadi. Italian National Conference on Sensors, 2014
350 citations recorded by the source corpus.
Hyperspectral imaging which combines imaging and spectroscopic technology is rapidly gaining ground as a non-destructive, real-time detection tool for food quality and safety assessment. Hyperspectral imaging could be used to simultaneously obtain large amounts of spatial and spectral information on the objects being studied. This paper provides a comprehensive review on the recent development of hyperspectral imaging applications in food and food products. The potential and future work of hyperspectral imaging for food quality and safety control is also discussed.
Subfields: Analytical Chemistry, Biomedical Engineering, Biophysics
View Paper: https://www.semanticscholar.org/paper/9df32eabee8d3c2af0e47d41721838a6753381ab
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Citations in the corpus
- Near-Infrared spectroscopy and hyperspectral imaging for non-destructive quality assessment of cereal grains (2018, background): “Other sources gave reviews focusing on food quality and safety (2, 5), or described the steps involved in the data processing and extraction of useful informa-”
- Discrimination between abiotic and biotic drought stress in tomatoes using hyperspectral imaging (2018, background): “These spatial images are then superimposed one over another forming a threedimensional data cube (hypercube) which is the hyperspectral image as recorded by the camera [6].”