Integrating IoT and AI for Sustainable Waste Management: A Data-Driven Approach to a Greener Planet

In an era of rapid urbanization and increased waste generation, smart waste management has emerged as a critical solution to tackle environmental challenges. This research paper explores the integration of Internet of Things (IoT), Artificial Intelligence (AI), and cloud computing in the development of smart waste management systems. By analyzing the role of real-time data collection, efficient resource management, and predictive analytics, this paper highlights the connection between technology-driven waste management solutions and future-ready skills necessary for a greener planet.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-30
DOI
https://doi.org/10.5281/zenodo.15704551
Primary Topic
Municipal Solid Waste Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Integrating IoT and AI for Sustainable Waste Management: A Data-Driven Approach to a Greener Planet

Zenodo (CERN European Organization for Nuclear Research)
Municipal Solid Waste Management
article

Integrating IoT and AI for Sustainable Waste Management: A Data-Driven Approach to a Greener Planet

article en

Abstract

In an era of rapid urbanization and increased waste generation, smart waste management has emerged as a critical solution to tackle environmental challenges. This research paper explores the integration of Internet of Things (IoT), Artificial Intelligence (AI), and cloud computing in the development of smart waste management systems. By analyzing the role of real-time data collection, efficient resource management, and predictive analytics, this paper highlights the connection between technology-driven waste management solutions and future-ready skills necessary for a greener planet.

Zenodo (CERN European Organization for Nuclear Research)
Terna Dental College and Hospital (IN)
Openalex Percentile: Top 51%
Municipal Solid Waste Management
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