Transformative Trends in AI for Environmental Monitoring: Challenges, Applications
- Title
- Transformative Trends in AI for Environmental Monitoring: Challenges, Applications
- Creator
- Leena Sri, R.; Vetriveeran, Divya; Sambandam, Rakoth Kandan; Jenefa, J.; Thangavel, Karthikeyan
- 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.
- Source
- Environmental Monitoring Using Artificial Intelligence;pp.1-28
- Date
- 01-01-2025
- Publisher
- wiley
- Subject
- AI challenges; Artificial intelligence; deep learning models; environment monitoring and modeling; research directions
- 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
- Rights
- All Open Access; Gold Open Access
- Relation
- ISBN: 978-139427039-2; 978-139427036-1;
- Format
- online
- Language
- English
- Type
- Book chapter
Collection
Citation
Leena Sri, R.; Vetriveeran, Divya; Sambandam, Rakoth Kandan; Jenefa, J.; Thangavel, Karthikeyan, “Transformative Trends in AI for Environmental Monitoring: Challenges, Applications,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 19, 2026, https://archives.christuniversity.in/items/show/23906.