There is a strong interest in agriculture in gaining new knowledge about outcrossing between GM and conventional crops. Many models of outcrossing between crops have been developed, but most of them are mechanistic, very complex and rarely evaluated against real data. Our approach uses field measurements and background knowledge to develop accurate equation-based models of the outcrossing between GM and conventional maize crops. The use of background knowledge and equation-discovery is a novelty and a unique contribution to the study of outcrossing between GM and conventional maize.
COBISS.SI-ID: 21667367
Process-based modeling is a modeling technique that uses two-level approach for modeling dynamical systems. It models systems on a purely qualitative level in terms of entities and processes that involve those entities on one hand, and a quantitative level, on which all entities and processes are given a quantitative formulation, which is then automatically translated into a set of ordinary differential equations. We propose to extend this formalism with an intermediate level of modeling which consists of qualitative equations and illustrate the extension with examples.
COBISS.SI-ID: 23328807