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

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.

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Publication Details

Journal
Energies
Published
2024-11-28
DOI
https://doi.org/10.3390/en17235984
Citations
14
Primary Topic
Photovoltaic Systems and Sustainability
Type
article
Field-Weighted Citation Impact
2.88
Controls
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article

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

Mangirdas Morkūnas, Jinzhao Wei, Yufei Wang
14 citations
Energies
Photovoltaic Systems and Sustainability
2.88
article

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

Mangirdas Morkūnas, Jinzhao Wei, Yufei Wang
article en
14 citations

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.

EnergiesVol. 17(23)
Macau University of Science and Technology (MO), Vilnius University (LT), Lithuanian Social Research Centre (LT), Lithuanian Centre for Social Sciences
Zero hunger
Openalex Percentile: Top 9%
Photovoltaic Systems and Sustainability
2.88
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