Transformative Trends in AI for Environmental Monitoring: Challenges, Applications
subject: AI challenges; Artificial intelligence; deep learning models; environment monitoring and modeling; research directions
description: The integration of artificial intelligence (AI) and machine learning (ML) is reshaping environmental monitoring, responding to the escalating complexities of issues like climate change and pollution. This article presents a comprehensive overview of current trends, challenges, and applications in AI-driven environmental monitoring. While technologies like remote sensing and Internet of Things (IoT) have improved data resolution, the sheer volume necessitates AI for efficient processing. The review emphasizes the role of AI in real-time monitoring, providing timely insights critical for addressing natural disasters and pollution. Exploring various environmental monitoring verticals-air and water quality, climate change modeling, biodiversity, and disaster prediction-the article highlights AIs versatility in addressing diverse concerns. Challenges such as data quality, bias, interpretability, and privacy are examined, underlining ethical considerations in biased models impacting marginalized communities. This chapter discusses common environmental modeling methodologies, ranging from empirical to geospatial modeling, elucidating their advantages and challenges. 2025 Scrivener Publishing LLC.
creator: Leena Sri, R.; Vetriveeran, Divya; Sambandam, Rakoth Kandan; Jenefa, J.; Thangavel, Karthikeyan
source: Environmental Monitoring Using Artificial Intelligence;pp.1-28
publisher: wiley
date: 01-01-2025
rights: All Open Access; Gold Open Access
relation: ISBN: 978-139427039-2; 978-139427036-1;
language: English
type: Book chapter
coverage: Leena Sri R., Thiagarajar College of Engineering, Madurai, India; Vetriveeran D., Thiagarajar College of Engineering, Madurai, India; Sambandam R.K., CHRIST (Deemed to be) University, Kengeri, Bangalore, India; Jenefa J., CHRIST (Deemed to be) University, Kengeri, Bangalore, India; Thangavel K., University of Technology and Applied Sciences, Al Khuwair, Muscat, Oman