Our main mission is to develop models and DSS on the basis of existing and newly generated knowledge that allow resource-saving production and at the same time can be adapted to changing climate conditions. Efficient production of high-quality vegetables in rural areas will only be possible if the available resources are used responsibly and losses to the environment are avoided.

Efficient production of high-quality vegetables in rural areas will only be possible if the available resources are used responsibly and losses to the environment are avoided. A prerequisite for such outdoor production is a deep understanding of soil and climatic conditions, the requirements for plants at different stages of development, and the interaction of these factors. Much of this knowledge has already been generated under current climatic conditions, but quantification and especially application of knowledge in production are often very inconsistent.

Knowledge transfer can be accomplished through systems modeling and DSS. Since knowledge of crop nutrient requirements is very important in any vegetable growth state, we focus on creating knowledge-based systems using sensors and models. Thus, we model the soil nutrient cycle and combine calculated and measured data. With this combination, we focus on defining future management strategies to improve the productivity of soils used for horticultural purposes.