Crop Protection by an alert Based System using Deep Learning Concept

Priyanka R.R.¹ , Mahesh M.² , Pallavi S.S.³ , Jayapala G.⁴ , Pooja M.R.⁵

Section:Research Paper, Product Type: Isroset-Journal
Vol.6 , Issue.6 , pp.47-49, Dec-2018

CrossRef-DOI:   https://doi.org/10.26438/ijsrcse/v6i6.4749

Online published on Dec 31, 2018

Copyright © Priyanka R.R., Mahesh M., Pallavi S.S., Jayapala G., Pooja M.R. . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
A trespass recognition system for notifying a recipient of a possible trespass at a remote location is divulged. The system embraces a low bandwidth sensors network and comprising a satellite transceiver for communicating with the low bandwidth wireless network, and an sound sensor located proximate to the base station for receiving the sound in response to an alarm elicit, the ultra sonic sensor further comprising a processor for analyzing the received sound to identify a predetermined type of object and on identifying at least one of the predetermined type of object in the received signals, generating a contour image of the identified object using Machine Learning algorithm.

Key-Words / Index Term :
trespass, vicinity, deterring gadgets, machine learning, intrusion detection, deep learning, wireless sensor network

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