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In recent years, hyperspectral imaging (HSI) has become a powerful analytical tool in the fields of agriculture and agri-food production. A hyperspectral imaging solution allows to identify the elements analyzed through spectral information and define a spatial distribution.

This solution has become one of the main analytical tools for food evaluation, authentication and control.

Especially in the food sector, quality is not determined by a single parameter but by a combination of many parameters.

Hyperspectral imaging is therefore a great success in this area, because it is contactless, non-destructive and can simultaneously measure several parameters in real time.

The size, shape, colour and texture of food surfaces can be easily measured by conventional machine vision systems. Other parameters such as fat, sugar, water content, material homogeneity or consumer hazardous materials can be measured by hyperspectral imaging.

This technique has become increasingly fast and reliable, making it a perfect candidate for production line control.