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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.