The article explores the development of domestic agriculture based on digital solutions, such as navigation technologies based on satellite systems, remote sensing data processing, the use of expert systems and decision support systems, machine learning, including pattern recognition and computer vision, big data analysis and predictive analytics. As part of the study, the authors conducted a meta-analysis of the application of satellite navigation technologies and unmanned aerial systems based on global experience over the retrospective period from 2000 to 2023. An assessment of the economic effect of using this approach is given and it is analyzed that the productivity of agricultural land can be increased by 63-68% using the technologies in question. A comparative analysis of the level of implementation of precision farming in the Russian Federation and a number of foreign countries is carried out by regions. It has been established that, despite the existing technologies of the global satellite navigation system, its share is relatively low. Data are presented showing the number of farms in the context of subjects of the Russian Federation and the area cultivated using precision farming systems and the potential for their expansion. The main guidance systems are structured.