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As part of this information, the results of the International Conference on Ensuring Sustainable Development: Ecology, Earth Science, Energy and Agriculture (AEES2023) are presented.

Energy poverty is an issue, which is new to the scientific field and often omitted from the research. The contemporary approaches to it are various, still the major of them points that energy poverty exists in case the national energy sector and the economy in general lack the possibilities to provide sufficient, safe, reliable, and affordable energy to the consumers. This paper examines the energy sector of Pakistan to prove or refute the idea of energy poverty existence in the country. In addition to that the energy poverty in Pakistan, in case it exists needs to be defined, its reasons are to be examined and the possible solutions for its alleviation provided. The paper proves the mentioned idea with the help of the approach from the side of international infrastructure construction. The proposed approach includes the examination of the role of BRI in energy poverty alleviation in Pakistan. While the Initiative has a significant impact on the economy of the country, its energy sector isn’t directly affected by BRI. The major results of the study encompass the following: the energy poverty measurement through index method is developed, based on demand for energy and its supply and imports’ changes; the energy poverty in Pakistan persists and can’t be alleviated by the international institutions; the effects of economic growth aren’t automatically distributed in the economy, especially in the energy sector of the country and have limited effects on energy poverty.

The study provides a comprehensive analysis of the role and prospects of applying big data technologies in agriculture. It covers a wide range of issues related to the implementation and use of Big Data in the agro-industrial sector, exploring both the theoretical foundations and practical aspects of their application. Special attention is given to the examination of current trends, identification of key challenges, and opportunities associated with the use of these technologies in agriculture. The authors investigate how big data technologies are transforming approaches to managing agrarian processes, improving crop yields, and optimizing resources. Various aspects are analyzed, including the development of data processing technologies, their application for analysis and forecasting in agriculture, and discussions on issues related to the adoption and dissemination of these technologies in the Russian context. Specific examples of successful projects and initiatives demonstrating the potential of Big Data in agribusiness are presented.

This article provides an analysis of the impact of robotic systems on modern agriculture. Key aspects of integrating advanced technologies, such as automation of feeding processes, pasture management, and automated crop harvesting, are highlighted. Examples of successful implementation of innovative solutions on farms are discussed, including mobile feed mixers, automated calf feeding systems, smart soil sample collectors, and flying autonomous garden robots. Special attention is given to the analysis of the economic efficiency and sustainability of applying these technologies, as well as their impact on improving working conditions and reducing environmental impact. Challenges and problems related to high initial investments, the need for qualified personnel, and the adaptation of old farm structures to new technologies are also discussed. Conclusions are drawn regarding the prospects and opportunities that robotics opens up for agriculture, emphasizing its role in achieving sustainability and increasing productivity in the face of growing global challenges.