Implementation of Computer Vision using OMNI Directional with Canny EDGE Detection to Rice Mice in Enhance Agriculture Production

Iin Dinariyah
Computer Science Deparment Mathematics and Science Faculty, Universitas Negeri Semarang Semarang, Indonesia










Abstract

Indonesia is one an agricultural country. But currently the development of agricultural technology in Indonesia is still low then there must be innovation related to the implementation of new technology in agriculture. Rice mice are one of the causes of low agricultural production. Rice mice can attack 161,000 hectares each year. Farmers expel pests using chemicals that can damage the wetland ecosystem. Therefore the implementation of computer vision technology tools is expected to be a powerful pest repellent tool and keep the ecosystem stability in the fields. This innovation uses camera omni direction to detect the existence of pests such as rats, birds and others. Then after the pest can be detected it will be controlled by Arduino Mega Arduino controller to turn on the frequency generator. It will produce ultrasonic sound 40 KHz that very effective for drive rice mice out. This technology utilizes solar electric energy that can save electricity usage from farmers, using a title of 48 solar cells capable of producing 24.2 volt voltage. So it can be a source of electrical energy omni vision by reaching 360 vision as far as 25 meters. This innovation is expected to be an effective and efficient agricultural technology to enhance agricultural production.




Download Paper
PDF

Publication Date

27/11/2018


ISBN

978-602-53524-0-9


Copyright


© The authors.
This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/


RSS Feed
Feed

Download Paper

429 times.


Share




Proceeding The 2nd International Conference on Informatics for Development
27 November 2018
ISBN 978-602-53524-0-9
Open Access