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Design of Smart Garden System Using Particle Filter for Monitoring and Controlling the Plant Cultivation

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Intelligent Computing Methodologies (ICIC 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10363))

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Abstract

This paper designs and implements a smart garden system that can be used inside the house. To do this, we used particle filter and environmental sensors, which are open hardware controllers, and designed to control and observe automatic water supply, lighting, and growth monitoring with three wireless systems (Bluetooth, Ethernet, Wi-Fi). This system has been developed to make it possible to use it in an indoor space such as an apartment, rather than a large-scale cultivation system such as a conventional plant factory which has already been widely used. The developed system collects environmental data by using soil sensor, illuminance sensor, humidity sensor and temperature sensor as well as control through smartphone app, analyzes the collected data, and controls water pump, LED lamp, air ventilation fan and so on. As a wireless remote control method, we implemented Bluetooth, Ethernet and Wi-Fi. Finally, it is designed for users to enable remote control and monitoring when the user is not in the house.

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References

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Acknowledgement

This work is resulted from financially supported by KCA.

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Correspondence to Yang-Weon Lee .

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Lee, YW. (2017). Design of Smart Garden System Using Particle Filter for Monitoring and Controlling the Plant Cultivation. In: Huang, DS., Hussain, A., Han, K., Gromiha, M. (eds) Intelligent Computing Methodologies. ICIC 2017. Lecture Notes in Computer Science(), vol 10363. Springer, Cham. https://doi.org/10.1007/978-3-319-63315-2_40

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  • DOI: https://doi.org/10.1007/978-3-319-63315-2_40

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63314-5

  • Online ISBN: 978-3-319-63315-2

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