The stochastic counterpart to the commonly used deterministic descript
ion of biotechnical processes with ordinary differential equations is
introduced. We briefly discuss calculus, numerical and statistical tre
atment of stochastic differential equations. A simple method to constr
uct confidence intervals is presented. With this approach simulation r
esults help to find robust solutions for biotechnical control problems
. Several applications illustrate our approach.