IoT-based Smart Municipal Garbage Management System for Fertilizer Processing System

Food disposal is an important issue that has emerged in the modern world and has become more of a concern in our society in recent years, affecting both rich and poor countries. The Collection of waste is a much-needed municipal service for city people for environmental balance. This operation requires high expenses because of various factors such as manpower, navigation of vehicles, fuel, maintenance, and environmental costs. This study highlights a prototype that has been designed considering the above factors of essential implementation of the smart garbage bin to develop a proper municipal waste management system that is useful for the further fertilizer processing system. The prototype discussed here has been developed by a GSM module and ultrasonic distance measurement technology integrated into microcontrollers. This system has been simulated using EDA tools before hardware-based implementation according to the requirements. The proposed system offers a proper web server and SMS notification alert system to stop municipal garbage bins from overflowing. Using data server proper resources can be utilized such as creating location-based shortest paths and tracking worker’s performance, etc. A food waste management awareness system also can be displayed to raise public awareness for food scraps to be recycled and utilized to create fertilizer for new plantings. The suggested approach promises to contribute to a more sustainable and cleaner urban environment by encouraging citizen participation in recycling and trash reduction initiatives and optimizing waste management strategies for the respected organizations.

Authors

Institutions

Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/raaicon64172.2024.10928402
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

IoT-based Smart Municipal Garbage Management System for Fertilizer Processing System

Abu Shufian, Riadul Islam, Anup Roy, Md. Tanvir Islam Mim et al.
IoT-based Smart Home Systems
article

IoT-based Smart Municipal Garbage Management System for Fertilizer Processing System

Abu Shufian, Riadul Islam, Anup Roy, Md. Tanvir Islam Mim, Ahsan Ali, Md Mahfuzur Rahman Enam
article en

Abstract

Food disposal is an important issue that has emerged in the modern world and has become more of a concern in our society in recent years, affecting both rich and poor countries. The Collection of waste is a much-needed municipal service for city people for environmental balance. This operation requires high expenses because of various factors such as manpower, navigation of vehicles, fuel, maintenance, and environmental costs. This study highlights a prototype that has been designed considering the above factors of essential implementation of the smart garbage bin to develop a proper municipal waste management system that is useful for the further fertilizer processing system. The prototype discussed here has been developed by a GSM module and ultrasonic distance measurement technology integrated into microcontrollers. This system has been simulated using EDA tools before hardware-based implementation according to the requirements. The proposed system offers a proper web server and SMS notification alert system to stop municipal garbage bins from overflowing. Using data server proper resources can be utilized such as creating location-based shortest paths and tracking worker’s performance, etc. A food waste management awareness system also can be displayed to raise public awareness for food scraps to be recycled and utilized to create fertilizer for new plantings. The suggested approach promises to contribute to a more sustainable and cleaner urban environment by encouraging citizen participation in recycling and trash reduction initiatives and optimizing waste management strategies for the respected organizations.

American International University-Bangladesh (BD), Lamar University (US)
Zero hunger
Openalex Percentile: Top 74%
IoT-based Smart Home Systems
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.