AI-Powered Approaches to Environmental Challenges: Trends, Benefits, and Limitations

Year : 2024 | Volume :14 | Issue : 02 | Page : 1-8
By

T. P. Sulakshna,

V.R. Pramod,

  1. Former Assistant Professor (Ad hoc), Department of Civil Engineering, NSS college of Engineering, Palakkad, India
  2. Former Professor, Department of Mechanical Engineering, NSS college of Engineering, Palakkad, India

Abstract

Dynamic and unpredictable characteristics of environmental processes create challenges in their management and regulation. Artificial intelligence (AI) offers a powerful solution for addressing these complexities.AI tools have become more and more popular across a range of fields and research domains due to their efficient development and rapid growth. We analyse key trends in AI applications, including predictive analytics for climate modelling, automated monitoring of biodiversity, and smart resource management. The benefits of these technologies, such as enhanced efficiency, real-time data analysis, and improved decision-making, are discussed in detail. However, the study also identifies significant limitations, including data quality issues, algorithmic bias, and the need for interdisciplinary collaboration. By providing a comprehensive overview of the current landscape, this article aims to highlight both the potential and the challenges of leveraging AI to create sustainable solutions for a healthier planet. Over the past few years, there has been an exponential increase in interest in using AI in the environmental discipline. This paper aims to review the most recent uses of artificial intelligence (AI) techniques in the environmental field, the prospects they offer, and their benefits and drawbacks.

Keywords: Environment, Artificial Intelligence, Subject classification codes, Environment, Artificial Intelligence

[This article belongs to Journal of Energy, Environment & Carbon Credits(joeecc)]

How to cite this article: T. P. Sulakshna, V.R. Pramod. AI-Powered Approaches to Environmental Challenges: Trends, Benefits, and Limitations. Journal of Energy, Environment & Carbon Credits. 2024; 14(02):1-8.
How to cite this URL: T. P. Sulakshna, V.R. Pramod. AI-Powered Approaches to Environmental Challenges: Trends, Benefits, and Limitations. Journal of Energy, Environment & Carbon Credits. 2024; 14(02):1-8. Available from: https://journals.stmjournals.com/joeecc/article=2024/view=168006

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Regular Issue Subscription Review Article
Volume 14
Issue 02
Received July 11, 2024
Accepted July 18, 2024
Published August 20, 2024
Views: 30

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