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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

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Paper Title: Mobile Application model for solid waste collection system
Authors Name: Raghavendra D , Srinivasulu M
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IJRTI_184020
Published Paper Id: IJRTI2209031
Published In: Volume 7 Issue 9, September-2022
DOI:
Abstract: To create a comfortable human habitat, smart cities incorporate many mobile technologies. Offering a garbage management system that is efficient, effective, and ecologically beneficial is one of these alternatives. The current garbage collection system comprises routine garbage trucks making daily or weekly rounds, which not only uses up a tonne of resources but also doesn't cover the entire city. Using this software, the administrator can fully monitor and evaluate the system while managing the garbage app online. Bins, drivers, and driver work reports are all handled by the admin here. The government can more effectively manage the enormous volumes of rubbish that are collected every day by using the mobile-based system that is proposed in this article. Additionally, it provides the general people with a better remedy for the nuisance of garbage disposal. A driver performs this; an app will offer suggested and guided routes for garbage trucks. After that, the driver will update the status of the task that has been completed.
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Cite Article: "Mobile Application model for solid waste collection system ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 9, page no.237 - 242, September-2022, Available :http://www.ijrti.org/papers/IJRTI2209031.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 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: IJRTI2209031
Registration ID:184020
Published In: Volume 7 Issue 9, September-2022
DOI (Digital Object Identifier):
Page No: 237 - 242
Country: Davanagere , Karnataka , India
Research Area: Computer Science & Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2209031
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2209031
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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