Abstract:
Meat is highly perishable and poses health threats when its quality and
safety is unmonitored. Chemical methods of quality and safety determination are expensive, time-consuming and lack real-time monitoring
applicability. Nondestructive techniques have been reported as antidotes to these constraints. This paper assessed the potential of nondestructive techniques such as near-infrared spectroscopy, hyperspectral
imaging, multispectral imaging, e-nose, and their data fusion, all combined with algorithms for quality monitoring of pork, beef, and chicken,
the most consumed meat sources in the world. These techniques combined with data processing applications may offer a panacea for realtime industrial meat quality and safety monitoring.
