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AI-Driven Powered Solution Selection: Navigating Forests and Fires for a Sustainable Future
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Author(s): G. Kothai (Department of CSE, KPR Institute of Engineering and Technology, India), E. Poovammal (Department of Computing Technologies, SRM Institute of Science and Technology, India)and V. Deepa (Department of Computing Technologies, SRM Institute of Science and Technology, India)
Copyright: 2024
Pages: 32
Source title:
Using Traditional Design Methods to Enhance AI-Driven Decision Making
Source Author(s)/Editor(s): Tien V. T. Nguyen (Industrial University of Ho Chi Minh City, Vietnam)and Nhut T. M. Vo (National Kaohsiung University of Science and Technology, Taiwan)
DOI: 10.4018/979-8-3693-0639-0.ch006
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Abstract
Forests face several critical issues that pose significant challenges to their health and sustainability, such as deforestation, forest fires, forest fragmentation, etc. The main key issue is uncontrolled forest fires which affect both natural and human-induced and poses a significant threat to forests. Forest fires can result in the complete or partial destruction of forested areas. Addressing the damage requires a combination of effective fire management strategies, including prevention measures, early detection systems, and rapid response to wildfires. Detecting fires promptly allows authorities to issue timely evacuation orders, provide warnings to communities at risk, and deploy resources to ensure the safety of residents. However, artificial intelligence (AI) has the potential to revolutionize forest management by providing valuable insights, improving efficiency, and supporting sustainable practices. By leveraging AI technologies, forest fire management can benefit from improved situational awareness, faster response times, and optimized resource allocation.
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