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A Smart Security Drones for Farms Using Software Architecture

A Smart Security Drones for Farms Using Software Architecture

Yoki Karl, Haeng-Kon Kim, Jong-Halk Lee
Copyright: © 2020 |Volume: 8 |Issue: 4 |Pages: 10
ISSN: 2166-7160|EISSN: 2166-7179|EISBN13: 9781799808121|DOI: 10.4018/IJSI.2020100103
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MLA

Karl, Yoki, et al. "A Smart Security Drones for Farms Using Software Architecture." IJSI vol.8, no.4 2020: pp.40-49. http://doi.org/10.4018/IJSI.2020100103

APA

Karl, Y., Kim, H., & Lee, J. (2020). A Smart Security Drones for Farms Using Software Architecture. International Journal of Software Innovation (IJSI), 8(4), 40-49. http://doi.org/10.4018/IJSI.2020100103

Chicago

Karl, Yoki, Haeng-Kon Kim, and Jong-Halk Lee. "A Smart Security Drones for Farms Using Software Architecture," International Journal of Software Innovation (IJSI) 8, no.4: 40-49. http://doi.org/10.4018/IJSI.2020100103

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Abstract

Predators like lions and elephants, around farms to kill and destroy a farm's livestock. For this reason, productivity in agriculture decreases over time resulting in poor production of crops and even killing of poultry animals. The development drone for driven agriculture based on image process and IoT technology provides an effective way to ensure the protection of farms and agriculture against wild animals. An automatic drone flies after receiving a signal from server with machine learning to hunt wild animals outside the farm. The focus is on object detection which is also the highlight of this project. Furthermore, the UAV drone was developed through UAV technologies, with functionalities necessary for the successful deployment of a fully autonomous UAV operation over agriculture and traffic networks. The UAV is able to navigate autonomously at different altitudes and plan for mission goals such as locating, identifying, tracking, and the development of reliable software and hardware architectures. This article proposes a UML diagram including the design of the unmanned aerial vehicle system and software in it. The software is called embedded software. Model-based testing is a resolution for testing the embedded software.

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