The current non-destructive and fast method of hyperspectral imaging technology are used for different application from remote sensing to medical imaging and food processing. Due to the nature of acquired data which are massive as well as physical consideration depend on the type of application, the careful, fast and accurate data analysis is mandatory to […]

The hatchery industries are faced with huge economic losses in millions of dollars, resulting from incubating nonfertile eggs that will never become chickens. There is therefore an urgent need for non-destructive techniques to predict the fertility chicken eggs early enough (especially prior to incubation). The project seeks to solve the identified problem via optimizing modelling […]

The current non-destructive and fast method of hyperspectral imaging technology for the chicken egg-related problems in agri-food processing suffers from the quality of acquired hyperspectral images. Therefore, the results of all existing attempts to deal with those egg-related problems (e.g., freshness, grading eggs, fertility detection and distinguishing abnormal eggs) can be improved since they are […]