Citation

Khan, Inam Ullah and Arshi, Oroos and Kaushik, Keshav and Taherdoost, Hamed and Slimani, Khadija (2025) Artificial General Intelligence-Based Drones for Climate Change. Artificial General Intelligence-Based Drones for Climate Change. p. 418. ISSN 2327-0411

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Abstract

Artificial general intelligence (AGI)-based drones emerge as powerful tools in the fight against climate change, offering innovative solutions for monitoring, data collection, and environmental management. Unlike traditional drones, which rely on pre-programmed responses, AGI-powered drones learn, adapt, and make autonomous decisions in dynamic environments. These advanced drones can be deployed for a wide range of climate-related tasks, from tracking deforestation and monitoring pollution levels to assessing natural disasters and aiding in wildlife conservation. By leveraging AGI’s capabilities, these drones enhance efficiency, precision, and scalability in addressing climate change challenges. AGI-based drones have the potential to revolutionize environmental monitoring and support sustainable practices, contributing to global climate change mitigation efforts. Artificial General Intelligence-Based Drones for Climate Change explores how advanced technologies, particularly artificial general intelligence, can be leveraged to address the challenges posed by climate change. It delves into various facets of utilizing AGI-enabled drones to monitor, mitigate, and adapt to the impacts of climate change. This book covers topics such as biodiversity, environmental monitoring, and sensor technology, and is a useful resource for computer engineering, environmental scientists, academicians, and researchers.

Item Type:	Article
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	26 Jun 2025 07:29
Last Modified:	26 Jun 2025 07:29
URII:	http://shdl.mmu.edu.my/id/eprint/14109

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