How can realistic agricultural data be generated when real farm data is missing, incomplete or difficult to access? This presentation introduces a simulation software that maps agricultural processes based on agronomic rules and real data models. The aim is to provide complete, plausible data sets for research, certificates and AI applications - quickly, comprehensibly and in compliance with data protection regulations. The system invites use and further development.