UGC Approved Journal no 63975(19)

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

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIRCU06024


Registration ID:
218072

Page Number

110-111

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Title

CHALLENGES AND DRAWBACKS OF SMART FARMLAND USING RASPBERRY PI CROP PREVENTION AND ANIMAL INTRUSION DETECTION SYSTEM

Abstract

India has agriculture as its primary occupation. According to IBEF (India Brand Equity Foundation) 58% of the people living in rural areas in India are dependent on agriculture. Wild animals are special challenge for the farmers throughout the world. Animals like wild boars, elephants, monkeys etc…cause serious damage to crops. The previous project utilized the RFID (Radio Frequency Identification Device) module and GSM (Global Sytem Mobile). Forest officer and farmers will get these SMS containing area in which that animals observe. The techniques that already being used is ineffective, in this article I am presenting a practical procedure to ward them off, by creating a system which gives the solution for multi collision of messages and physical security for the RFID device

Key Words

RFID tag; anti-collision detector; RFID reader; power supply; raspberry pi; IoT cloud; speaker; fog machine

Cite This Article

"CHALLENGES AND DRAWBACKS OF SMART FARMLAND USING RASPBERRY PI CROP PREVENTION AND ANIMAL INTRUSION DETECTION SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.110-111, May 2019, Available :http://www.jetir.org/papers/JETIRCU06024.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

"CHALLENGES AND DRAWBACKS OF SMART FARMLAND USING RASPBERRY PI CROP PREVENTION AND ANIMAL INTRUSION DETECTION SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp110-111, May 2019, Available at : http://www.jetir.org/papers/JETIRCU06024.pdf

Publication Details

Published Paper ID: JETIRCU06024
Registration ID: 218072
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 110-111
Country: Chennai, Tamil Nadu, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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