AI Waste Management

Artificial Intelligence (AI) offers a new solution by bringing together smart sensors, the Internet of Things (IoT), and computer vision techniques for effective waste monitoring, sorting, and collection. This paper presents an AI-based waste management system that automates sorting waste into wet and dry categories. It also allows for real-time monitoring of waste levels and supports decisions based on data. The proposed system improves efficiency, reduces human effort, cuts pollution, and encourages sustainable urban development.

Authors

Publication Details

Journal
Iconic Research and Engineering Journals
Published
2026-01-13
DOI
https://doi.org/10.64388/irev9i7-1713537
Primary Topic
Municipal Solid Waste Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI Waste Management

Pranavi Shelke, Yadnashree Gaikwad, Samiksha Nikalje, Supriya S. Kadam Gaikwad et al.
Iconic Research and Engineering Journals
Municipal Solid Waste Management
article

AI Waste Management

Pranavi Shelke, Yadnashree Gaikwad, Samiksha Nikalje, Supriya S. Kadam Gaikwad, Tanishka Chakankar
article en

Abstract

Artificial Intelligence (AI) offers a new solution by bringing together smart sensors, the Internet of Things (IoT), and computer vision techniques for effective waste monitoring, sorting, and collection. This paper presents an AI-based waste management system that automates sorting waste into wet and dry categories. It also allows for real-time monitoring of waste levels and supports decisions based on data. The proposed system improves efficiency, reduces human effort, cuts pollution, and encourages sustainable urban development.

Iconic Research and Engineering JournalsVol. 9(7)
Sustainable cities and communities
Openalex Percentile: Top 89%
Municipal Solid 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.

AI Waste Management — Pranavi Shelke, Yadnashree Gaikwad, et al. · Iconic Research and Engineering Journals (2026) | TGRS Research Map | TGRS