Based on the conducted research, it has been established that when addressing issues of adapting food systems of the Republic of Belarus to global challenges, there are both strengths and weaknesses. All of this together requires strengthening government regulation of the agroindustrial complex in the context of expanding the capabilities of the agroindustrial enterprises themselves. A systematization of the consequences of global challenges and, above all, sanctions against the agroindustrial complex of the Republic of Belarus has revealed the multi­component nature of their negative impact, among which the most important components are the following: technological, production, financial­economic, logistics, scientific and personnel. A target model for end­to­end management of sustainable development of food systems, adapted to the needs of the Republic of Belarus, is proposed.

This article assesses the economic recovery results of agricultural organizations covered by Decree No. 399 of the President of the Republic of Belarus dated October 2, 2018, and describes the methods, mechanisms, and forms of property and financial restructuring. A comprehensive approach to improving this process to prevent insolvency and bankruptcy is proposed, including operational measures to restore solvency, addressing production development, asset and liability configuration, and tactical actions aimed at strengthening financial stability.

This article explores approaches to evaluating investment projects in the agroindustrial complex, taking into account technological independence. It examines the experience of selecting investment projects in the Republic of Belarus and abroad – in the EAEU countries (the Russian Federation, the Republic of Kazakhstan), the European Union, the United States, and China. A comparative analysis and systematization of priority criteria are conducted. The article identifies the shortcomings of current methods for evaluating and selecting investment projects in the agroindustrial complex, examines the role of innovation and digitalization, and substantiates the need to classify investment projects aimed at increasing technological independence as a separate category of investment objects.

A methodology for determining the degree of technological independence in the production and distribution chain of domestic agrifood products is presented. This methodology allows for the assessment of each level of the chain and the entire chain, taking into account the characteristics of the pro­ ducts produced, regional characteristics, and strategic priorities. A system of indicators for analyzing the level of technological independence of the links in this production and distribution chain is substantiated.

The structure of intelligent agricultural production management and its fundamental components (layers, methods, and technologies) are analyzed. The essence of the “data – analytics – action” management cycle is demonstrated. Artificial intelligence methods used in Belarusian agricultural enterprises are considered, including expert systems, neural networks, fuzzy logic, reinforcement learning, and others.

Modern software for informatization and digitalization of the country’s agricultural sector is studied, the impact of its use on optimization and cost reduction (autonomous equipment control, precision farming platforms, ERP systems, etc.) is identified, and lists of key users are identified.

The study explores the role of Belarusian dairy enterprises in advancing the Sustainable Development Goals (SDGs) within the context of export­oriented growth, tightening sustainability requirements across global value chains, and changing institutional conditions in major destination markets. The analytical framework combines the principles of the 2030 Agenda for Sustainable Development and the National Strategy for Sustainable Development of Belarus through 2040 with SDG Index data for SCO member states (2016–2025) and evidence on the structure of Belarusian dairy exports.

It is established that the SDGs are becoming a practically significant competitiveness factor for producers. The concentration of exports on the Russian and Chinese markets heightens the role of ESG compliance, non­financial reporting, raw material traceability, and environmental efficiency. The correlation­regression analysis confirms a convergence effect in the SCO countries’ SDG dynamics and the increasingly demanding competitive environment. A shift from declarative responsibility to the operational integration of the SDGs through supplier codes, KPIs, risk audits, data disclosure, and partici­ pation in the UN Global Compact network in Belarus is substantiated. The conclusion is drawn that systematic engagement with the sustainable development agenda reduces foreign trade risks, streng­ thens importer trust, and supports national priorities of food security and export growth.