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Cited by 349

The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.

Recent Developments in Hyperspectral Imaging for Assessment of Food Quality and Safety

Open access
Huang, Hui, Liu, Li, Ngadi, Michael·2014·Sensors

Abstract

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.

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Metadata

Authors
Huang, H., Liu, L., & Ngadi, M.
Venue
Sensors
Publisher
MDPI AG
Published
2014-04-22
Volume
14
Issue
4
Pages
7248-7276
ISSN
1424-8220 (ISSN-L)
OpenAlex
W1972399486
Cited by
349
References
45
FWCI
22.29
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Recent Developments in Hyperspectral Imaging for Assessment of Food Quality and Safety. https://app.cochat.ai/papers/10.3390/s140407248
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Huang, H., Liu, L., & Ngadi, M. (2014). Recent Developments in Hyperspectral Imaging for Assessment of Food Quality and Safety. Sensors. https://doi.org/10.3390/s140407248

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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