Shaping Sustainable Leadership in Agriculture Through Artificial Intelligence: Analytical and Bibliometric Perspectives

The article is devoted to the study of the impact of artificial intelligence on the concept of sustainable leadership in agriculture. The purpose of the study is to analyze the role of artificial intelligence in the development of sustainable agriculture and its impact on leadership strategies in the agricultural sector. The study used literature review and predictive analysis methods used in agricultural activities, where technologies are integrated into their management strategies. The main results show that the implementation of artificial intelligence contributes to increasing the efficiency of management decisions, reducing environmental impact, and optimizing resource use. Specific data show that farmers who use intelligent systems to monitor and forecast yields achieve increased productivity while reducing costs. The greatest effect is observed in strategic decisions regarding adaptation to climate change and sustainable use of land resources. The conclusions indicate that artificial intelligence has significant potential to support the sustainable development of the agricultural sector, forming new approaches to leadership and management.

leadership, artificial intelligence, sustainable development, sustainable impact

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