Digitalization for Sustainability: The Role of AI and IoT in Optimizing Waste Management and Resource Efficiency

Global waste generation is projected to reach 3.40 billion tons by 2050, overwhelming traditional linear management systems and exacerbating environmental degradation.This paper presents a comprehensive analysis arguing that the integration of Artificial Intelligence (AI) and the Internet of Things (IoT) is a foundational pillar for transitioning to a circular economy.By transforming waste streams into managed resource flows, these technologies enable unprecedented operational efficiency, environmental protection and economic value creation.Through a review of current applications, including smart collection, AI-powered sorting and predictive analytics-this paper demonstrates significant improvements in cost reduction, emission cuts and material recovery rates.It also critically addresses implementation challenges such as high capital expenditure, data security and the technological divide.The conclusion emphasizes that strategic investment and interdisciplinary policy are essential to harness digitalization for achieving global sustainability goals.

Publication Details

Journal
Green economics.
Published
2025-09-22
DOI
https://doi.org/10.62476/ge.33.203
Primary Topic
Healthcare and Environmental Waste Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Digitalization for Sustainability: The Role of AI and IoT in Optimizing Waste Management and Resource Efficiency

Green economics.
Healthcare and Environmental Waste Management
article

Digitalization for Sustainability: The Role of AI and IoT in Optimizing Waste Management and Resource Efficiency

article en

Abstract

Global waste generation is projected to reach 3.40 billion tons by 2050, overwhelming traditional linear management systems and exacerbating environmental degradation.This paper presents a comprehensive analysis arguing that the integration of Artificial Intelligence (AI) and the Internet of Things (IoT) is a foundational pillar for transitioning to a circular economy.By transforming waste streams into managed resource flows, these technologies enable unprecedented operational efficiency, environmental protection and economic value creation.Through a review of current applications, including smart collection, AI-powered sorting and predictive analytics-this paper demonstrates significant improvements in cost reduction, emission cuts and material recovery rates.It also critically addresses implementation challenges such as high capital expenditure, data security and the technological divide.The conclusion emphasizes that strategic investment and interdisciplinary policy are essential to harness digitalization for achieving global sustainability goals.

Green economics.Vol. 3(3)
Openalex Percentile: Top 65%
Healthcare and Environmental Waste Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Digitalization for Sustainability: The Role of AI and IoT in Optimizing Waste Management and Resource Efficiency · Green economics. (2025) | TGRS Research Map | TGRS