A Rigorous Feature Engineering Framework and Deployment for Poppy Seed Adulteration Detection
Published: 21 July 2026| Version 1 | DOI: 10.17632/nx8m9kxy26.1
Contributors:
DEBAYAN GANGULY, Description
A special group of data was built to show how semolina adulteration in poppy seeds happens in real life. The data is put into groups that show the amount of semolina by volume: 0%, 10%, 20%, 30%, 40%, 50%, and 100% (pure semolina)
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Food Adulteration