To overcome the limitations of conventional food inspection systems, such as the inability to inspect within a product, several machine vision techniques such as visual, infrared, terahertz, and x-rays are being studied. Other driving forces for the development of machine vision systems are food safety requirements and consumer expectations. In the context of global trade and rising consumer expectations, this regulatory tendency is likely to continue.
Imaging Spectroscopy and Hyperspectral Imaging offer significant advantages in non-destructive inspection among machine vision systems since they can pass through most things easly. It allows to significantly extend the range of farming issues and applications that can be addressed using remote sensing.
In the agriculture industry, Imaging Spectroscopy and Hyperspectral Imaging can also be used for quality control and to verify the safety of product. The presence of foreign objects or contaminant can be detected. Because Imaging Spectroscopy and Hyperspectral Imaging visualizes the internal structure of objects, it can be used to inspect product to ensure that the pit has been removed. The construction of an x-ray inspection system, on the other hand, entails the selection of relevant technologies and parameter optimization. Therefore, this guest lecture aims to improve our understanding of these developmental challenges and potential applications.