The digital agriculture - has come to stay; [Die digitale Landwirtschaft – gekommen, um zu bleiben]

Abstract

This article discusses the growing role of digital technologies in modern agriculture and the development of digital farming as a long-term part of agricultural practice. Agriculture increasingly relies on information about fields, soil, crops, weather, machinery and production processes. Geospatial technologies can connect these different sources of information and provide farmers with a clearer view of conditions across individual fields. Satellite imagery, GNSS positioning, sensors, drones and GIS can support monitoring and help identify differences in crop development, soil conditions or field performance. The article considers how digital agriculture can improve the way decisions are made by replacing general assumptions with more detailed and location-specific information. Precision farming approaches can help target resources more effectively and may contribute to better use of fertilizers, water, machinery and other inputs. Digital systems can also improve documentation and provide information that can be used for planning and evaluating agricultural activities. At the same time, successful digitalization depends on reliable data, suitable infrastructure and tools that farmers can use without unnecessary complexity. Data integration and interoperability remain important because agricultural information often comes from different devices and software platforms. The article presents digital agriculture as a development that is becoming a permanent part of farming rather than a temporary technological trend. The increasing availability of geospatial data and connected technologies creates new opportunities for efficient, informed and sustainable agricultural management while keeping practical farming requirements at the center of digital transformation. This perspective is also relevant for organizations that are planning long-term digital transformation and need practical information rather than technology in isolation. It shows how geospatial methods can connect operational needs with clearer, evidence-based decisions.