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DOI: 10.14569/IJACSA.2022.0131287
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Embedded Monitoring Method of Greenhouse Environment based on Wireless Sensor Network

Author 1: Weixue Liu

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 12, 2022.

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Abstract: Aiming at the problem of low accuracy of greenhouse environmental monitoring, an embedded monitoring method of greenhouse environment based on wireless sensor network is studied. The embedded microprocessor S3C2410 is selected as the control chip of greenhouse environmental monitoring. The wireless sensor network is composed of wireless detection node, sink node and remote-control terminal. The temperature and humidity sensor, CO2 concentration sensor and light intensity sensor are set as the detection nodes of the wireless sensor network. Each detection sensor node is configured with wireless communication module to form a wireless sensor network to realize data communication of environmental monitoring. The distribution map method is selected to eliminate the missing data of greenhouse environmental monitoring data collected by wireless sensor network, and the weighted average method is used to fuse the monitoring data after eliminating the missing data to obtain the final greenhouse environmental monitoring results. The experimental results show that this method can effectively detect the environmental data such as temperature, humidity and light intensity of greenhouse, and the relative error of each data is less than 1%.

Keywords: Control chip; Detection node; embedded; greenhouse environmental monitoring; missing data; wireless sensor networks

Weixue Liu, “Embedded Monitoring Method of Greenhouse Environment based on Wireless Sensor Network” International Journal of Advanced Computer Science and Applications(IJACSA), 13(12), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0131287

@article{Liu2022,
title = {Embedded Monitoring Method of Greenhouse Environment based on Wireless Sensor Network},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0131287},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0131287},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {12},
author = {Weixue Liu}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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