1 Engineering Technology, Western Illinois University, USA.
2 Independent Investigator, Cloud AI Consultant, Mitchell Martin New York, USA.
3 Independent Researcher and Systems Specialist, NHS, United Kingdom.
4 Independent Researcher IoT Network Consultant ehealth Africa, Abuja Nigeria.
5 School of Business, University of Arkansas at Little Rock, USA.
6 Department of Computer Science, Georgia State University USA.
7 Independent Researcher, Environmental Scientist (GIS Expert) Urban and Regional Planning Department, Federal Capital Development Authority, Abuja, Nigeria.
Review Article
World Journal of Advanced Research and Reviews, 2024, 23(02), 2156-2166
Received on 14 July 2024; revised on 22 August 2024; accepted on 24 August 2024
Detection of hazardous substances in the environment is paramount in safeguarding human health and ecosystems. With the continuous advancement of technology, artificial intelligence (AI) has emerged as a promising tool in the development of sensors capable of efficiently detecting and analyzing these substances. Environmental monitoring, modeling, and management are very essential for gaining a deeper insight into the fundamental processes and methodologies employed in handling environmental transformations. Hence, the objective of this study is to investigate recent progress in the utilization of AI, sensors, and IoT devices for monitoring environmental pollution, while considering the challenges associated with predicting and monitoring these variations due to the dynamic nature of the environment. The integration of these systems is actively revolutionizing environmental monitoring and enhancing our understanding of how to implement a comprehensive approach to the management of natural resources and ecological processes that are crucial for our societal, economic, and cultural well-being. Consequently, we are able to uncover the transformative impact of this collaborative effort on our comprehension of Earth, as it tackles obstacles, conducts in-depth analysis of long-term environmental data monitoring, and lays the foundation for a promising future.
Artificial Intelligence; Internet of Things; Geographic Information Systems; Artificial Intelligence of Things; High-Resolution Aerial Imagery; Multispectral Sensors
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Modupe Ebunoluwa Arowolo, William Clement Aaron, Adeniyi olusegun kugbiyi, Ubi Solomon Eteng, Divine ILOH, Chimaoge Peace Aguma and Adeyemi Oyetoro Olagunju. Integrating AI enhanced remote sensing technologies with IOT networks for precision environmental monitoring and predicative ecosystem management. World Journal of Advanced Research and Reviews, 2024, 23(2), 2156-2166. Article DOI: https://doi.org/10.30574/wjarr.2024.23.2.2573