UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 5
May-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2205B94


Registration ID:
403613

Page Number

k729-k733

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Title

Smuggling Control In Forest Using Raspberry-Pi

Abstract

The proposed system is all about smuggling of the trees like sandal, red sandal, teak wood and essential medicinal trees. These trees are very costly as well as less available in the world. These are use in the medical sciences as well as cosmetics and medicines. Because of huge amount of money involved in selling of such tree woods lots of incidents are happening of cutting of trees and their smuggling. The purpose of this project work is to design an anti-smuggling system which is useful in Protected Forest areas. The Theft and illegal movement of commercial trees like Sandalwood, Teak, Sagwan, etc. have been a major concern. It is also a theft to Forest Flora and fauna. As concerned citizens our ideology is to prevent such smuggling activities by using latest technologies. Trees are made Smart with sensors embedded in them, forming a Sensor Network that communicates using Server and based on Internet of Things (IOT) concept. The Server uses ”Heroku” Technology. To restrict such smuggling and to save the forests around the globe some preventive measures need to be deployed.

Key Words

WSn=N,Zigbee

Cite This Article

"Smuggling Control In Forest Using Raspberry-Pi", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.k729-k733, May-2022, Available :http://www.jetir.org/papers/JETIR2205B94.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Smuggling Control In Forest Using Raspberry-Pi", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppk729-k733, May-2022, Available at : http://www.jetir.org/papers/JETIR2205B94.pdf

Publication Details

Published Paper ID: JETIR2205B94
Registration ID: 403613
Published In: Volume 9 | Issue 5 | Year May-2022
DOI (Digital Object Identifier):
Page No: k729-k733
Country: THANE, MAHARASHTRA, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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