ReviewCurrent research in food science2022
Hyperspectral Imaging (HSI) for meat quality evaluation across the supply chain: Current and future trends.
Review in Current research in food science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Artificial intelligence in poultry processing: applications, validation gaps, and pathways toward intelligent and autonomous processing systems.Poultry science · 2026Review
- The future of meat: innovations in production within an expanding and sustainable food system.Food science of animal resources · 2026Review
- AI-Driven Nondestructive Measurement Technologies for Meat Quality and Safety: A Review.Foods (Basel, Switzerland) · 2026Review
- SAVE: Spectrum-Aided Visual Enhancement for AI-Based Skin Cancer Detection.Diagnostics (Basel, Switzerland) · 2026Article
- Simultaneous Assessment of Chicken Freshness and Authenticity Using a Single Multispectral Imaging Device: A Cross-Laboratory Evaluation Using Identical Instruments.Sensors (Basel, Switzerland) · 2026Article
- New Developments and Future Challenges of Non-Destructive Near-Infrared Spectroscopy Sensors in the Cheese Industry.Sensors (Basel, Switzerland) · 2026Review
- Hyperspectral Imaging for Quality Assessment of Processed Foods: A Case Study on Sugar Content in Apple Jam.Foods (Basel, Switzerland) · 2025Article
- Integrating AI with Advanced Hyperspectral Imaging for Enhanced Classification of Selected Gastrointestinal Diseases.Bioengineering (Basel, Switzerland) · 2025Article
- The Effect of the Level of Goat Liver Addition to Goat Minced Meat on the Near-Infrared Spectra, Colour, and Shelf Life of Samples.Foods (Basel, Switzerland) · 2025Article
- Non-destructive identification of commercial jerky types based on multi-band hyperspectral imaging with machine learning.Food chemistry: X · 2025Article
- A systematic review of data and models for predicting food flavor and texture.Current research in food science · 2025Review
- Research on non-destructive detection of chilled meat quality based on hyperspectral technology combined with different data processing methods.Frontiers in nutrition · 2025Article
- Meat species authentication using portable hyperspectral imaging.Frontiers in nutrition · 2025Article
- Freshness in Salmon by Hand-Held Devices: Methods in Feature Selection and Data Fusion for Spectroscopy.ACS food science & technology · 2024Article
- Hyperspectral Imaging Combined with Machine Learning Can Be Used for Rapid and Non-Destructive Monitoring of Residual Nitrite in Emulsified Pork Sausages.Foods (Basel, Switzerland) · 2024Article
- Modeling of Ethiopian Beef Meat Marbling Score Using Image Processing for Rapid Meat Grading.Journal of imaging · 2024Article
- Identification of individual goat animals by means of near infrared spectroscopy and chemometrics analysis of commercial meat cuts.Journal of food science and technology · 2024Article
- Challenges in the Use of AI-Driven Non-Destructive Spectroscopic Tools for Rapid Food Analysis.Foods (Basel, Switzerland) · 2024Review
- Utilization of Hyperspectral Imaging with Chemometrics to Assess Beef Maturity.Foods (Basel, Switzerland) · 2023Article
- Comparison of a portable Vis-NIR hyperspectral imaging and a snapscan SWIR hyperspectral imaging for evaluation of meat authenticity.Food chemistry: X · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Meat products are particularly plagued by safety problems because of their complicated structure, various production processes and complex supply chains. Rapid and non-invasive analytical methods to evaluate meat quality have become a priority for the industry over the conventional chemical methods. To achieve rapid analysis of safety and quality parameters of meat products, hyperspectral imaging (HSI) is now widely applied in research studies for detecting the various components of different meat products, but its application in meat production and supply chain integrity as a quality control (QC) solution is still ambiguous. This review presents the fresh look at the current states of HSI research as both the scope and the applicability of the HSI in the meat quality evaluation expanded. The future application scenarios of HSI in the supply chain and the future development of HSI hardware and software are also discussed, by which HSI technology has the potential to enable large scale meat product testing. With a fully adapted for factory setting HSI, the inspection coverage can reliably identify the chemical properties of meat products. With the introduction of Food Industry 4.0, HSI advances can change the meat industry to become from reactive to predictive when facing meat safety issues.
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Registered trials
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