Advanced modeling and optimizing for surface sterilization process of grape vine () root stock 3309C through response surface, artificial neural network, and genetic algorithm techniques.

In vitro sterilization is one of the key components for proceeding with plant tissue cultures. Since the effectiveness of sterilization has a direct impact on the culture's final outcomes, there is a crucial need for optimization of the sterilization process. However, compared with traditional optimizing methods, the use of computational approaches through artificial intelligence-based process modeling and optimization algorithms provides a precise optimal condition for culturing.