Article
An initial exploration of machine learning for establishing associations between genetic markers and THC levels in Cannabis sativa samples.
Forensic science international. Genetics - 1 Nov 2024
Cisana Selena, Di Nunzio Michele, Brenzini Valentina, Omedei Monica, Seganti Fabrizio, Ververi Christina, Gerace Enrico, Salomone Alberto, Berti Andrea, Barni Filippo, Schiavone Sergio, Coppi Andrea, Di Nunzio Ciro, Garofano Paolo, Alladio Eugenio
Abstract excerpt
Cannabis sativa, a globally commercialized plant used for medicinal, food, fiber production, and recreation, necessitates effective identification to distinguish legal and illegal varieties in forensic contexts. This research utilizes multivariate statistical models and Machine Learning approaches to establish correlations between specific genotypes and tetrahydrocannabinol (Δ9-THC) content (%) in C. sativa...
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