Keywords
enterprise
agricultural holdings
financial resources
innovations
investments
strategy
finance
How to Cite
Abstract
It is noted that the agri-food sector is one of the national priorities defined in the Strategy for the Digital Development of Innovation Activity in Ukraine. It is stated that the integration of digital technologies into agriculture is a necessary factor for improving the efficiency of the sector and overcoming the existing challenges to its development. The article analyzes the production volumes of major agricultural crops in Ukraine during the 2020/2021-2024/2025 marketing years. It is substantiated that the effective digital transformation of agricultural enterprises requires a systematic approach encompassing investments in digital infrastructure, adaptation of technologies to the scale of farming operations, personnel training, integration of digital solutions into business processes, production optimization, expanded market access through mobile platforms, risk management and resilience enhancement, social inclusion, environmental efficiency, and cross-sectoral cooperation. It is emphasized that the development challenges faced by agricultural enterprises necessitate the search for effective ways to enhance their competitiveness. Particular importance is attached to promising areas of digital transformation, the implementation of which will contribute to increasing the productivity of business operations and managerial activities. It is noted that the priority areas of digitalization include such initiatives as automation and digitalization of business processes; implementation of electronic document management systems; improvement of customer relationship management (CRM) systems; market analysis and monitoring systems; integration with automated targeted advertising platforms (Google Ads, Facebook Ads, YouTube Ads); drones, IoT devices, and video surveillance systems; digital platforms for planning, tracking, and managing production processes; logistics automation; and the application of artificial intelligence and neural network-based systems in the agricultural sector. A logical and structural model illustrating the impact of the digital transformation of agricultural enterprises on the economic resilience of the state is proposed.
References
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