UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 4 | April 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 9 Issue 7
July-2022
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2207296


Registration ID:
405871

Page Number

c757-c761

Share This Article


Jetir RMS

Title

IoT Based Fire and Wild Animals Detection using Deep Learning

Abstract

These days, a variety of outside circumstances induce forest fires to break out without warning. To increase rainfall, lessen wind attrition, reverse the trend of logging, and stop the encroachment of the desert, governments, especially in semi-arid regions of the world, designate tracts of wood as forest reserves. The legal system provides judicial and/or constitutional protection for rainforests in India and many other nations. Forests are the third most significant natural source after air and water. They effectively keep the radiative gaseous balanced by collecting carbon dioxide and releasing oxygen, which also helps to complete the hydrological cycle and produce rainfall. Food, medicine, timber, and many more goods can all be found in forests. They provide defense against things like radiation, drought, flooding, and soil erosion. The importance of forests in recreation, aesthetics, and as the shelter for a variety of wildlife are only a few of their additional roles. The designed methodology launches a novel framework that combines the combination of a few sensors that detect fires and will notify the closest communication center in order to identify and protect the plants and animals.

Key Words

Conservation of forest, wildlife, save wild animals, IoT

Cite This Article

"IoT Based Fire and Wild Animals Detection using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 7, page no.c757-c761, July-2022, Available :http://www.jetir.org/papers/JETIR2207296.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

"IoT Based Fire and Wild Animals Detection using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 7, page no. ppc757-c761, July-2022, Available at : http://www.jetir.org/papers/JETIR2207296.pdf

Publication Details

Published Paper ID: JETIR2207296
Registration ID: 405871
Published In: Volume 9 | Issue 7 | Year July-2022
DOI (Digital Object Identifier):
Page No: c757-c761
Country: Bangalore, Karnataka, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

000207

Print This Page

Current Call For Paper

Jetir RMS