Abstract
The Cannabis industry is quickly being transformed by Artificial Intelligence (AI) to create innovations in cultivation, production, distribution, and personalized healthcare uses. The AI technologies are streamlining farm operations by incorporating machine learning, sophisticated data analytics, and automation to increase crop yields, improve cannabinoid profiles and minimise environmental impact by using precision agriculture. AI can be used in manufacturing and supply chain management to provide real-time quality control, predictive maintenance and efficient logistics. In addition, to the industry of medical cannabis, AI-based applications are transforming patient care by relying on data to select strains, optimize dosage, and create personalized cannabinoid treatment based on the genetic and biochemical profile of an individual. This is because AI and cannabis science intersect not only to improve product safety and consistency but also to speed up the research on the therapeutic potential of cannabinoids. The adoption of AI has more efficiency, innovation, and evidence-based personalization opportunities than ever before as new regulatory frameworks emerge, making the cannabis sector the leader among digital health innovations.
