Predicting Cannabis Potency with Your Smartphone: Hyperspectral Breakthrough
Description
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
United States
