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Role of AI and IoT in Advancing Renewable Energy Use in Agriculture
被引:1
|作者:
Morkunas, Mangirdas
[1
]
Wang, Yufei
[2
]
Wei, Jinzhao
[3
]
机构:
[1] Inst Econ & Rural Dev, Lithuanian Ctr Social Sci, Vilnius, Lithuania
[2] Vilnius Univ, Fac Econ & Business Adm, LT-10222 Vilnius, Lithuania
[3] Macau Univ Sci & Technol, Univ Int Coll, Macau 999078, Peoples R China
来源:
关键词:
climate-smart agriculture (CSA);
renewable energy;
artificial intelligence (AI);
internet of things (IoT);
sustainable resource management;
agricultural productivity;
ARTIFICIAL-INTELLIGENCE APPLICATIONS;
WATER-FOOD NEXUS;
MANAGEMENT STRATEGIES;
IRRIGATION SYSTEMS;
TECHNOLOGIES;
OPPORTUNITIES;
ELECTRICITY;
EFFICIENCY;
EMISSIONS;
LIVESTOCK;
D O I:
10.3390/en17235984
中图分类号:
TE [石油、天然气工业];
TK [能源与动力工程];
学科分类号:
0807 ;
0820 ;
摘要:
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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页数:20
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