Innovative approaches to the implementation of smart agriculture and digitalization in agricultural management

Introduction. In the current context, the digital transformation of the agricultural sector is becoming a key factor in enhancing production efficiency and improving decision-making processes. Smart agriculture involves the implementation of innovative digital solutions at all levels of agricultural enterprise activity—from resource monitoring to logistics optimization and analytics. However, a pressing issue remains the fragmentation of statistical data and the lack of an integrated information space for making well-grounded decisions. The purpose of this article is to develop innovative approaches for building an information and analytical management system for agricultural enterprises using digital technologies to improve the efficiency of production and economic activities. The research methodology is based on the use of abstract-logical, statistical-economic, computational-constructive, and monographic methods, as well as a systems approach. Results. The study analyzes sources of statistical indicators and develops the structure of an information and analytical system using web technologies based on the «thin client» architecture. The OLAP concept and relational databases are applied to optimize data storage and processing. The advantages of the client-server model are highlighted, and the effectiveness of data warehouses in agricultural management decision-making is substantiated. Directions for the development of a digital ecosystem in agriculture are proposed, including the creation of «smart» agricultural facilities.