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Predicting the Impact of Internet of Things on the Value Added for the Agriculture Sector in Iran Using Mathematical Methods

Author

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  • FaghihKhorasani, Hanieh
  • FaghihKhorasani, Abbas

Abstract

In terms of water resources, Iran has less fresh water than its population demands. Also, due to climate change, inefficient management and excessive consumption of this vital resource, the water shortage situation is becoming more critical day by day. Searching for a solution for sustainable use of water sources, this study proposes utilizing the Internet of things technology in order to implement smart irrigation in agricultural lands in Iran. Investigating the economic impact of the Internet of Things in Iran’s agriculture sector is the purpose of this article. The most important advantages of using smart irrigation are decreasing water consumption and increasing the productivity of agricultural yields (e.g., fruits, vegetables, etc.). This research attempts to predict Iran's economic growth in the event of smart irrigation implementation in agricultural fields and farms. The effect of investment in smart irrigation on water consumption and agricultural production is estimated by regression with cross-sectional data. In the end, by using the information obtained through the mathematical method, Iran's economic growth through GDP growth is estimated in the case if the Internet of things technology is fully implemented and the full benefits of using this technology are gained.

Suggested Citation

  • FaghihKhorasani, Hanieh & FaghihKhorasani, Abbas, 2022. "Predicting the Impact of Internet of Things on the Value Added for the Agriculture Sector in Iran Using Mathematical Methods," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 14(3), September.
    • Handle: RePEc:ags:aolpei:327259
    DOI: 10.22004/ag.econ.327259
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    References listed on IDEAS

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    1. Salami, Habibollah & Shahnooshi, Naser & Thomson, Kenneth J., 2009. "The economic impacts of drought on the economy of Iran: An integration of linear programming and macroeconometric modelling approaches," Ecological Economics, Elsevier, vol. 68(4), pages 1032-1039, February.
    2. Lee, In & Lee, Kyoochun, 2015. "The Internet of Things (IoT): Applications, investments, and challenges for enterprises," Business Horizons, Elsevier, vol. 58(4), pages 431-440.
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