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- W3214960215 abstract "Improving farming techniques and agricultural methods with advanced technology is becoming more crucial on our fast-evolving and ecologically challenged planet, where challenges such as energy deficiency, drought, global warming, etc., have adverse effects on common agricultural practices. This paper discusses how the hybridization of energy generation from renewable resources and the field of artificial intelligence can aid in optimizing and improving the current best practices followed by farmers. We propose the concept of harnessing natural and artificial wind energy, the turbulence produced by the displacement of air due to the motion of objects such as trains. This energy harnessed can then be used in powering Internet of Things devices that enable AI-based smart farmland monitoring systems. The aim is to solve the challenges facing common agricultural practices in suburban and rural areas where vertical axis wind turbines can be set up, ultimately easing the lives of agriculturalists." @default.
- W3214960215 created "2021-12-06" @default.
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- W3214960215 date "2022-01-01" @default.
- W3214960215 modified "2023-10-01" @default.
- W3214960215 title "Smart agriculture using renewable energy and AI-powered IoT" @default.
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- W3214960215 doi "https://doi.org/10.1016/b978-0-12-823694-9.00028-1" @default.
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