Remote Sensing of Cannabis Flowers: The First Step Towards Accurate Medication

Oded Shoseyov, The Multidisciplinary center on Cannabinoid Research. The Hebrew University of Jerusalem, Cannabi-Tech Ltd , Jerusalem, Israel (Shoseyov@agri.huji.ac.il)

One of the major challenges of the immerging medical cannabis industry, is the wide variation in cannabinoid composition and concentrations within the same batch of flowers. This variation results in inconsistent clinical efficiency and patient’s dissatisfaction and above all, confusion within the medical community.

All the methods that have been developed so far to analyze cannabis flowers, involve some kind of sample preparation and destruction of the analyzed sample.  A novel method that combines reflectance spectrometry image analysis and machine learning enables accurate cannabinoids composition analysis by non-destructive remote sensing at high speed.