Biotechnological processes fall into the category of environment-sensitive technologies. In view of the fact that we work with organic substances and living agents special attention should be paid to weather risks, the most important of which are drought and snow blanket and large quantities of stormwater falling during relatively short time. In addition to the impact weather events exert, certain meteorological variables, such as day and night temperature, relative humidity, precipitation are also registered by the help of automatic measuring instruments and their effects are assessed. Based on these we can model the conditions that require action. We expect that by the help of the model we can efficiently reduce in a later, production phase the risk of economic damages and also that the model can serve as the fundament for a system that shall have a greater capacity and shall be more automated.
