Crop Protection by an alert Based System using Deep Learning Concept

Authors

  • Priyanka R R Vidyavardhaka College of Engineering, Mysuru, India
  • Mahesh M Vidyavardhaka College of Engineering, Mysuru, India
  • Pallavi S S Vidyavardhaka College of Engineering, Mysuru, India
  • Jayapala G Vidyavardhaka College of Engineering, Mysuru, India
  • Pooja M R Vidyavardhaka College of Engineering, Mysuru, India

Keywords:

trespass, vicinity, deterring gadgets, machine learning, intrusion detection, deep learning, wireless sensor network

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.

 

References

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Hayder Yousif, Jianhe Yuan, “Fast Human- Animal Detection from Highly cluttered camera-trap Images Using Joint Background Modelling and Deep Learning Classification”,2016

Nagaraju Andavarapu and Valli Kumari Vatsavayi,”Wild-Animal Recognition In Agriculture farms using W-COHOG for agro-Security”,International Journal of Computational Intelligence Research, Nov 9,2017.

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Published

2018-12-31

How to Cite

[1]
P. R R, M. M, P. S S, J. G, and P. M R, “Crop Protection by an alert Based System using Deep Learning Concept”, Int. J. Sci. Res. Comp. Sci. Eng., vol. 6, no. 6, pp. 47–49, Dec. 2018.

Issue

Vol. 6 No. 6 (2018): December

Section

Research Article

License

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