Crop-flow processes in forage harvesters are influenced by a variety of parameters where machine settings are actively used to control process results and compensate disturbances. Thus, there is potential for optimization by adjusting process parameters to accomplish the desired chopping results. However, to achieve an optimized state, the behavior of crop-flow processes needs to be better understood. Current knowledge of the crop-flow is typically achieved through empirical testing but limited by the applicability of commercial measurement techniques. To achieve more in-depth knowledge, in addition to empirical tests in lab and field, numerical simulation methods, like Discrete-Element-Method (DEM) and Computational-Fluid-Dynamics (CFD) are used. This paper discusses an approach to obtain currently unavailable data about biogenic particle properties as a basis for numerical simulations of the SPFH crop-flow, specifically considering the complex transfer functions between simulation parameters and physical crop-flow characteristics.