Predicting Cannabis Potency with Your Smartphone: Hyperspectral Breakthrough
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Show Notes
Dr. Russell Sharp explores recent research showing that hyperspectral leaf scans combined with machine learning can predict cannabinoid concentrations in legal cannabis before harvest, and outlines a new technique that could let standard smartphone cameras act like hyperspectral sensors using a reference card and software.
The episode covers practical applications for growers and breeders; from pre‑selling crops and ensuring hemp THC compliance to rapidly screening seedlings, and considers how these tools could be brought together in a future smartphone app.
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Compolytics
fan leaf hyperspectral reflectance (FLHR)
University of Adelaide's Dr Aaron Phillips
Purdue University researcher Young Kim
Semin Kwon of the Weldon School of Biomedical Engineering
James Hutton Institute Dundee