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Role of AI and IoT in Advancing Renewable Energy Use in Agriculture

Author

Listed:
  • Mangirdas Morkūnas

    (Institute of Economics and Rural Development, Lithuanian Centre for Social Sciences, 01108 Vilnius, Lithuania)

  • Yufei Wang

    (Faculty of Economics and Business Administration, Vilnius University, 10222 Vilnius, Lithuania)

  • Jinzhao Wei

    (University International College, Macao University of Science and Technology, Macao 999078, China)

Abstract

This paper discusses how integrating renewable energy, AI, and IoT becomes important in promoting climate-smart agriculture. Due to the changing climate, rise in energy costs, and ensuring food security, agriculture faces unprecedented challenges; therefore, development toward innovative technologies is emerging for its sustainability and efficiency. This review synthesizes existing literature systematically to identify how AI and IoT could optimize resource management, increase productivity, and reduce greenhouse gas emissions within an agricultural context. Key findings pointed to the importance of managing resources sustainably, the scalability of technologies, and, finally, policy interventions to ensure technology adoption. The paper further outlines trends in the global adoption of renewable energy and smart agriculture solutions, indicating areas of commonality and difference and emphasizing the need for focused policies and capacity-building initiatives that will help, particularly in the developing world, the benefits of such innovations. Eventually, this research covers some gaps in understanding how AI, IoT, and renewable energy could jointly contribute to driving towards a greener and more resilient agriculture sector.

Suggested Citation

  • Mangirdas Morkūnas & Yufei Wang & Jinzhao Wei, 2024. "Role of AI and IoT in Advancing Renewable Energy Use in Agriculture," Energies, MDPI, vol. 17(23), pages 1-20, November.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:23:p:5984-:d:1531598
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    References listed on IDEAS

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