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- W3126098511 abstract "Food health is a huge public concern, and if not taken seriously, it can lead to major outbreaks of food-related diseases that can turn out to be a very severe cause of social disruption. In food and agricultural applications, there is a major necessity to have a fast and mobile technique to increase the safety of foodstuffs production. In these situations, hyperspectral imaging has proven to be an efficient major in such a situation that is both quick and reliable and can assist in inspection and monitoring of food health. Including the identification of meat and meat bone-in foodstuffs as well as organic residues in food processing equipment are also documented because of their close association with food safety regulation, learned from different studies. Hyperspectral imaging gathers and integrates information from across the electromagnetic spectrum, close to other spectral photography. Hyperspectral image's main objective is to obtain spectrum information for each pixel in the picture taken from some random scene. An image is captured using a hyperspectral camera. This camera is built by various modules such as spectrometer, a microprocessor for image processing, and various lenses to attain all details of an image. This helps in detecting, identifying various objects, processes, and materials. This camera can be used in different fields to detect materials, components, gases, chemicals, elements, etc. in space stations and space missions, chemical reactions, laboratories, food detection systems, etc. With the above hypothesis, it can be seen that various hyperspectral imaging techniques, including hyperspectral near-infrared imaging, hyperspectral fluorescence imaging, etc., or their combinations can be used as some useful tools for food inspection and health monitoring. In this article, we will present a hyperspectral imaging technique that will help distinguish by contrasting their wavelengths between a fresh food product and a rotted food product." @default.
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- W3126098511 date "2020-06-30" @default.
- W3126098511 modified "2023-09-23" @default.
- W3126098511 title "Food Safety Inspection and Control Using Hyperspectral Imaging: A Review" @default.
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