Predicting Cannabis Potency with Your Smartphone: Hyperspectral Breakthrough

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. https://eutrema.co.uk/shop/biostimulants/slugger/   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