Tech-Driven Solutions for Environmental Conservation by AI Collaboration Processes

Tech-Driven Solutions for Environmental Conservation by AI Collaboration Processes

Manoj Kumar Sharma (Department of Botany, Neeraj Memorial College, Gangapur City, India), Somarouthu V. G. V. A. Prasad (Department of Physics and Electronics, Pithapur Rajah's Government College (Autonomous), Kakinada, India), G. Anusha (Department of Civil Engineering, KPR Institute of Engineering and Technology, Coimbatore, India), Abhijeet Das (Department of Civil Engineering, C.V. Raman Global University (CGU), Bhubaneswar, India), and M. Sambathkumar (Department of Mechanical Engineering, Kongu Engineering College, Erode, India)
Copyright: © 2024 |Pages: 29
DOI: 10.4018/979-8-3693-3625-0.ch001
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Abstract

In this chapter, the technological relationship between AI collaboration processes and environmental preservation has been presented, emphasizing creative approaches through multidisciplinary cooperation and artificial intelligence (AI). Air pollution, biodiversity loss, and environmental deterioration have been developed to describe cutting-edge technology. Artificial intelligence applications are discussed to transform environmental monitoring while reducing air pollution and protecting biodiversity. It also emphasizes the importance of scientists, engineers, politicians, and conservationists working together across academic boundaries to build comprehensive conservation policies. The potential for tech-enabled solutions is described to address difficult environmental concerns and sustainable futures through case studies and the critical role of technology-driven efforts.
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