IJNRD Research Journal

WhatsApp
Click Here

WhatsApp editor@ijnrd.org
IJNRD
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.76

Issue per Year : 12

Volume Published : 9

Issue Published : 96

Article Submitted :

Article Published :

Total Authors :

Total Reviewer :

Total Countries :

Indexing Partner

Join RMS/Earn 300

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: Instinctive Waste Segregation and Stewarding System
Authors Name: Appisetty Radha , Juvvanapudi Papa , Chinta Anusha , Mohammad Umar , Rakesh Enduri
Download E-Certificate: Download
Author Reg. ID:
IJNRD_219507
Published Paper Id: IJNRD2404849
Published In: Volume 9 Issue 4, April-2024
DOI:
Abstract: Overflowing garbage bins and roadside littering are major sources of pollution, especially in India where daily waste generation is expected to surpass 160,038.9 metric tons. Manual sorting, the current waste management system, struggles with inefficiency due to a lack of real-time data and monitoring. This results in human error during segregation, leading to improper disposal. Furthermore, the absence of continuous monitoring delays response to overflowing bins or other problems. An IoT-based automatic waste segregation and monitoring system can address these limitations and significantly improve waste management effectiveness. This system leverages powerful processors like microcontrollers to identify and categorize waste, optimizing recycling through automation. Real-time data allows for improved monitoring and generation of valuable insights for sustainable and efficient waste management practices.
Keywords: Waste Segregation System and Stewarding System
Cite Article: "Instinctive Waste Segregation and Stewarding System", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.i372-i380, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404849.pdf
Downloads: 00030
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID:IJNRD2404849
Registration ID: 219507
Published In: Volume 9 Issue 4, April-2024
DOI (Digital Object Identifier):
Page No: i372-i380
Country: Palnadu, Andhra Pradesh, India
Research Area: Electronics & Communication Engg. 
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2404849
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2404849
Share Article:
Share

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijnrd.org
Semantic Scholar Microsaoft Academic ORCID Zenodo
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX PUBLON
DRJI SSRN Scribd DocStoc

ISSN Details

ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI
How to Get DOI? DOI

Conference

Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Social Media

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Join RMS/Earn 300

IJNRD