The current stage of cadastral development is characterized by a large-scale digital transformation aimed at increasing the efficiency, accuracy, and transparency of processes. The automation of cadastral processes spans all phases, from field surveys to government reporting, through the use of specialized software, precision equipment, and digital documentation systems. A central achievement of this shift is the development of integrated data management systems like the EGRN. These systems have successfully cut processing times and minimized errors in cadastral documentation. Prospects for development lie in the integration of artificial intelligence for spatial data analysis, blockchain for ensuring data reliability, and the creation of comprehensive monitoring systems. Despite shortcomings such as the high cost of equipment and the need for personnel training, automation forms the foundation for the transition to a fundamentally new, digital model of land management.
Natal'ya Ershova (Tue,) studied this question.