student
student
student
UDC 636.083
The article is dedicated to analyzing the economic efficiency of implementing artificial intelligence-based systems in livestock farming. It provides an analysis of modern automated systems, including animal health monitoring technologies, robotic milking installations, and IoT platforms. Based on industry statistics and expert evaluations, predictive scenarios for the digitalization of the sector until 2030 were developed. The results confirm the high economic efficiency of these technologies: milk yield increases by 15%, while veterinary costs are simultaneously reduced by 20%. According to a realistic forecast, by 2027, the share of livestock enterprises using artificial intelligence technologies will reach 20-26%. The article identifies the main factors contributing to digitalization and demonstrates the strategic necessity of implementing artificial intelligence to ensure the competitiveness of the sector in the global market.
artificial intelligence, animal husbandry, digitalization, forecasting
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