IMPROVING AGRICULTURAL PRODUCTION EFFICIENCY IN SAMARKAND REGION USING ARTIFICIAL INTELLIGENCE

Authors

  • Beknazarov Begzod,Urozaliev Elyor Samarkand branch of Tashkent State University of Economics

Keywords:

Uzbekistan economy, Consumer basket, Product cost, Income analysis, ARIMA model, VAR model, Econometric analysis, Healthcare income, Education income, Public services income, Price forecast, Economic stability, Inflation impact, Agricultural economy, Labor market dynamics, Modeling and forecasting, Digital analysis, Variability analysis, Country economic development, Product economic analysis

Abstract

This study explores the potential of artificial intelligence (AI) to enhance the efficiency of agricultural production in the Samarkand region. Using econometric models, including ARIMA and VAR, we analyze historical data and forecast future trends. The results indicate significant improvements in production efficiency and cost management, suggesting a positive impact of AI adoption. This paper contributes to the understanding of AI's role in agricultural development and provides valuable insights for policymakers.

References

Johnson, A. (2019). The impact of AI on agricultural productivity. Journal of Agricultural Science, 25(3), 123-135.

Lee, B., & Kim, S. (2021). Machine learning applications in agriculture: A review. International Journal of AI Research, 34(4), 567-589.

Smith, J. (2020). AI-driven innovations in crop management. Agricultural Technology Journal, 18(2), 89-102.

Urozaliev, E., & Khoshimova, S. (2024). The Importance of the World Trade Organisation (WTO) and Uzbekistan’s Efforts to Join It.

Urozaliev, E., Xujamov, B., & Saydullayev, A. (2024). Opportunities for Bicycle Tourism in Zomin, Bulungur and Bakhmal Districts

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Published

2024-06-13

How to Cite

Beknazarov Begzod,Urozaliev Elyor. (2024). IMPROVING AGRICULTURAL PRODUCTION EFFICIENCY IN SAMARKAND REGION USING ARTIFICIAL INTELLIGENCE. Ethiopian International Journal of Multidisciplinary Research, 11(06), 62–66. Retrieved from https://eijmr.org/index.php/eijmr/article/view/1706

Issue

Vol. 11 No. 06 (2024): Ethiopian International Journal of Multidisciplinary Research

Section

Articles