This paper is published in Volume-6, Issue-3, 2020
Area
Electronics And Communication Engineering
Author
Sushmitha Shankar B., Vidya R., Thanushree M., K. Apoorva
Org/Univ
East West Institute of Technology, Bangalore, Karnataka, India
Pub. Date
10 June, 2020
Paper ID
V6I3-1486
Publisher
Keywords
Agriculture, Intrusion, Camera, Raspberry Pi

Citationsacebook

IEEE
Sushmitha Shankar B., Vidya R., Thanushree M., K. Apoorva. Neural Networks based image classification for animal Intrusion Detection System, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Sushmitha Shankar B., Vidya R., Thanushree M., K. Apoorva (2020). Neural Networks based image classification for animal Intrusion Detection System. International Journal of Advance Research, Ideas and Innovations in Technology, 6(3) www.IJARIIT.com.

MLA
Sushmitha Shankar B., Vidya R., Thanushree M., K. Apoorva. "Neural Networks based image classification for animal Intrusion Detection System." International Journal of Advance Research, Ideas and Innovations in Technology 6.3 (2020). www.IJARIIT.com.

Abstract

Agriculture plays a major role in the development of a country. Issues concerning agribusiness have been continually thwarting the advancement of the nation. Farmers face a huge number of issues, for example, the insufficiency of water for irrigation, harm to crops because of pests and wildlife. In any case, productivity is decreased by the wild creatures trampling over harvests and eating them. This project provides a solution for these problems without hurting creatures or setting human life at stake. In this project, we use Raspberry pi to protect the farmland from animals. Classification of the intruded animals is done using the photos taken utilizing the Convolutional Neural Network. This way it is easy to arrive at useful information regarding the intrusions and take measures against it.
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