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Hyperspectral Imaging for Raisin Quality by Raoudha Chaabane is a document available to read on EtoBox.
What is Hyperspectral Imaging for Raisin Quality about?
This study investigates the use of hyperspectral imaging (HSI) to evaluate the physicochemical and phytochemical quality parameters of raisins from both conventional and organic production. The research demonstrates that HSI, combined with chemometric methods, can effectively classify raisins based on quality attributes such as moisture content, texture, and phenolic compounds. The findings suggest that HSI could serve as a rapid, non-destructive tool for monitoring raisin quality throughout production and
- Author
- Raoudha Chaabane
- Language
- EN