首页|Data on Marijuana/Cannabis Reported by Selena Cisana and Colleagues (An initial exploration of machine learning for establishing associations between genetic ma rkers and THC levels in Cannabis sativa samples)
Data on Marijuana/Cannabis Reported by Selena Cisana and Colleagues (An initial exploration of machine learning for establishing associations between genetic ma rkers and THC levels in Cannabis sativa samples)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Marijuana/Cannabis is the subject of a report. According to newsreporting from Torino, Italy, by News Rx journalists, research stated, “Cannabis sativa, a globally commercializedpla nt used for medicinal, food, fiber production, and recreation, necessitates effe ctive identificationto distinguish legal and illegal varieties in forensic cont exts. This research utilizes multivariate statisticalmodels and Machine Learnin g approaches to establish correlations between specific genotypes and tetrahydrocannabinol (D-THC) content (%) in C. sativa samples. 132 cannabis l eaves samples were obtainedfrom legal growers in Piedmont, Italy, and illegal d rug seizures in Turin.”
TorinoItalyEuropeBiological Factor sBiological MarkersCyborgsDiagnostics and ScreeningEmerging TechnologiesGenetic MarkersGeneticsLegal IssuesMachine LearningMarijuana/Cannabis
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