Rice new variety value evaluation method and system based on generative model

The invention belongs to the technical field of value evaluation, and particularly relates to a new rice variety value evaluation method and system based on a generative model, and the method comprises the following steps: sorting and merging variety data of target rice, including gene sequences collected from a database and a site, and environmental parameters including temperature, humidity, soil types and historical growth performance data, and unifying data formats to obtain a basic growth environment and a market feature library. According to the method, by integrating the advanced artificial intelligence technology and utilizing a generator and a discriminator of the generative adversarial network, high-precision simulation and evaluation of a new rice variety are realized, including optimization of yield and resistance prediction parameters, enhancement of model stability through multi-round training, and screening of good varieties through accurate growth index analysis and market demand matching; on-