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Research Idea: Detecting Refilled Tap Water in Premium Mineral Water using Ultrasonic AI
I have been conducting a literature review on non-invasive authentication methods and noticed that several researchers have successfully used Ultrasonic…
I have been conducting a literature review on non-invasive authentication methods and noticed that several researchers have successfully used Ultrasonic…
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Gender
Male
Location
Kurdistan
Employer's name
University of Kurdistan
Food Authenticity Membership Category; please pick a category that best describes your profession:
University/Academia
Additional information about your food authenticity interests
MSc in Biosystems Engineering (Postharvest Tech) with a strong focus on Applied Deep Learning and Computer Vision.
My research currently targets non-destructive fraud detection and quality grading in dry commodities, specifically developing hierarchical models for black tea authentication. I am actively looking to adapt these AI-driven inspection methods to other high-value supply chains, such as Saffron, Honey, and Premium Liquids, to enhance transparency and food safety.
