This chapter starts with a perspective on how the efficient system engineering for automation and autonomous machines will change in the future into the direction of highly automated, flexible equipment systems. It explains various Precision Farming technologies and application scenarios. Further, it highlights the current state of the art and specific challenges of safe object detection and how such systems can be engineered. To address interoperability for Digital Farming solutions, a reference architecture on how to achieve better interoperability is presented. The use of AI in agriculture is outlined by sketching technology and key application scenarios. A view on data sharing in agriculture and relevant technologies such as ontologies and terminologies for describing the data is given. We highlight the role of geo-based data and its farm-specific integration. In the end, a comprehensive outlook on technology developments in various technological areas is provided.