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Design and Implementation of Multi-node Environmental Information Acquisition System

Published: 20 September 2019 Publication History

Abstract

For achieving accurate detection of greenhouse planting environment and obtaining agricultural information such as illumination and air conditions, a multi-node greenhouse environment information collection system was designed combining environment information integrated sensor fusion technology and Internet of Thing technology. The experimental results show that the system is stable in operation, and the collected environmental information data has high precision, which can better detect greenhouse plantations and provide reliable environmental information data.

References

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Bingfang Wu, Miao Zhang, Hongwei Zeng, Xin Zhang, Nana Yan, Jihua Meng. Monitoring and early warning of agricultural conditions in the age of big data [J]. Journal of remote sensing, 2016, 20(05):1027--1037.
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Lixue Zhu, XufengTian.Research progress and development trend of agricultural situation acquisition robot [J]. Modern agricultural equipment, 2018(05):41--45.
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Kehui Xiao, Jianzhao Feng, Deqin Xiao. Development of wireless acquisition node for embedded multi-service agricultural information [J]. Journal of sensing technology, 2017, 30(12):1912--1917.
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Mare Srbinovska, Cvetan Gavrovski, Vladimir Dimcev, Aleksandra Krkoleva, Vesna Borozan. Environmental parameters monitoring in precision agriculture using wireless sensor networks[J]. Journal of Cleaner Production, 2015, 88.
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Yijun Xia, Bin Tian, Xueen Luo, Xijun Shao, Haiyan Jiang. Research and application of data interaction method of agricultural Internet of things [J]. Anhui agricultural science, 2017, 45(28):199--202+253.

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  1. Design and Implementation of Multi-node Environmental Information Acquisition System

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    cover image ACM Other conferences
    RICAI '19: Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence
    September 2019
    803 pages
    ISBN:9781450372985
    DOI:10.1145/3366194
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 20 September 2019

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    Author Tags

    1. Internet of Things technology
    2. Multi-node data acquisition
    3. Sensor fusion technology

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    • Research-article
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    RICAI 2019

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    RICAI '19 Paper Acceptance Rate 140 of 294 submissions, 48%;
    Overall Acceptance Rate 140 of 294 submissions, 48%

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