Current and future global developments like climate change and the global food crisis will require more efficient and sustainable agricultural production systems that enable the increase of world food production whilst reducing the use of scarce resources. Precision agriculture is considered an important instrument to achieve this. In order to be able to optimize field operation on a local scale through precision agriculture, the use of spatial information and spatial models is indispensible. CGI is strongly involved in several research projects in this domain. In the FieldFact project the use of GNSS (Global Navigation Satellite Systems) in agriculture and especially the European systems Galileo and EGNOS was investigated. Demonstrator applications were developed to show the possibilities and advantages of satellite navigation in agriculture. Sound testing procedures and standardization guidelines were developed. The project proved that the use of geo-information, the integration of spatial models and the inclusion of open standards for spatial information exchange are inevitable to exploit the full potential of precision agriculture. Future CGI research will focus on using innovative methods to integrate spatial knowledge and models to optimize agricultural production processes.