Applications of Artificial Intelligence (AI) in Cannabis Industries: In Vitro Plant Tissue Culture

Abstract

This review paper highlights the application of artificial intelligence (AI) in Cannabis industries. Growing Cannabis especially on a large scale can come with several complex challenges unique to the industry. Therefore, artificial intelligence (AI) has been implemented across all stages of the Cannabis supply chain. Artificial intelligence (AI) is a powerful tool that can be applied in all aspects of the Cannabis industry. However, developing an effective artificial intelligence (AI) model is a challenging task due to the dynamic nature and variation in real-world problems and data. In addition, a growing number of artificial intelligence (AI) -powered apps, Chatbots, and websites are launching to help medical Cannabis (marijuana) customers to find the products. Artificial intelligence (AI) and machine learning (ML) have become essential to Cannabis businesses that want to display the most relevant products and services to consumers when they visit companies websites. Digital medical Cannabis represents the combination of a Cannabis product and a second- generation Artificial intelligence (AI), system to create a new intellectual property (IP). With medicinal and recreational interests for Cannabis sativa L. growing, research related to the optimization of in vitro practices is needed to improve the current methods. Plant tissue culture experiments comprise a part of very complex studies with many problems. In plant tissue culture studies, optimization is highly desirable and the application of new computational approaches like artificial intelligence (AI) and machine learning (ML) algorithms using fewer inputs is on the rise in recent years. It has been shown that Generalized Regression Neural Network (GRNN) as one of the most powerful of ANNs has more accuracy than other artificial neural networks (ANNs) in modeling and forecasting in vitro culture procedures.