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Application of Internet of Things Technology in Agricultural Production

Published: 29 December 2018 Publication History

Abstract

In recent years, the Internet of Things technology has developed rapidly. The main monitoring method of the Internet of Things is to realize its functions through the nodes of the sensor. The monitoring network of the Internet of Things transmits the monitoring data back to the database for further analysis through the computer and mobile phone platform. More detailed management and arrangement are also important for energy conservation and emission reduction. The continuous development of Internet of Things technology is, to a certain extent, the premise and foundation of agricultural development, and the ultimate goal and the biggest trend of China's agricultural development. This paper outlines the application scope of Internet of Things technology, studies the framework model of agricultural internet of things and its model prediction, and proposes the practical application of Internet of Things technology in agricultural production by studying the impact of Internet of Things technology on modern agriculture.

References

[1]
Zhu Xiaoyu. Application of Internet of Things Technology in Modern Agricultural Informatization: Taking Yulin City, Guangxi Province as an Example {J}. Journal of Shenyang Normal University (Natural Science Edition), 2010, 28(3): 391--393.
[2]
Qiao Kang, Wang Xianfu, Wang Yang. Construction of intelligent agricultural planting management system based on Internet of Things technology {J}. Electronic World, 2016 (11): 10, 12
[3]
Zhu Yuqin. The application of Internet of Things technology in modern agriculture: Take Nanjing as an example {J}. Internet of Things, 2016(7): 106--107.
[4]
Yuan Jianfeng. Design and research of agricultural internet of things monitoring system based on KDF algorithm {J}. Computer Programming Skills and Maintenance, 2015(18): 33--34.
[5]
Zhang Xin, Chen Lansheng, Zhao Jun, et al. Design and application of intelligent agricultural greenhouse based on Internet of Things technology {J}. Chinese Journal of Agricultural Mechanization, 2015, 36(5): 90--95.
[6]
Liu Wei. Research on Development Strategy of Smart Agriculture Based on Internet of Things Technology {J}. Electronic Testing, 2017, 21 (24): 57--58
[7]
Qiao Kang, Wang Xianfu, Wang Yang, et al. The construction of intelligent agricultural planting management system based on Internet of Things technology {J}. Electronic World, 2016, 21(11): 10, 12.
[8]
Qiu X, Ren Y, Suganthan P N, et al. Empirical Mode Decomposition based Ensemble Deep Learning for Load Demand Time Series Forecasting{J}. Applied Soft Computing, 2017, 54(C):246--255.
[9]
Qin Huaibin, Li Daoliang, Guo Li. Development of Agricultural Internet of Things and Application Progress of Key Technologies {J}. Agricultural Mechanization Research, 2014(4): 246--248.
[10]
Yang Jiapeng. Application of Sensor Technology in Modern Agricultural Development{J}. Agricultural Products Processing, 2017, (5): 54--56.

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  • (2021)IoT Technologies for Livestock Management: A Review of Present Status, Opportunities, and Future TrendsBig Data and Cognitive Computing10.3390/bdcc50100105:1(10)Online publication date: 26-Feb-2021
  • (2021)AI-Enabled Sensing and Decision-Making for IoT SystemsComplexity10.1155/2021/66162792021(1-9)Online publication date: 4-Jan-2021
  • (2021)A review on the internet of thing (IoT) technologies in controlling ocean environmentEnergy Sources, Part A: Recovery, Utilization, and Environmental Effects10.1080/15567036.2021.1960932(1-19)Online publication date: 27-Jul-2021
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    cover image ACM Other conferences
    ISBDAI '18: Proceedings of the International Symposium on Big Data and Artificial Intelligence
    December 2018
    365 pages
    ISBN:9781450365703
    DOI:10.1145/3305275
    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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    • International Engineering and Technology Institute, Hong Kong: International Engineering and Technology Institute, Hong Kong

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 29 December 2018

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    Author Tags

    1. Internet of Things
    2. agriculture
    3. predictive model
    4. wavelet neural network

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    • Short-paper
    • Research
    • Refereed limited

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    ISBDAI '18

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    ISBDAI '18 Paper Acceptance Rate 70 of 340 submissions, 21%;
    Overall Acceptance Rate 70 of 340 submissions, 21%

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    Cited By

    View all
    • (2021)IoT Technologies for Livestock Management: A Review of Present Status, Opportunities, and Future TrendsBig Data and Cognitive Computing10.3390/bdcc50100105:1(10)Online publication date: 26-Feb-2021
    • (2021)AI-Enabled Sensing and Decision-Making for IoT SystemsComplexity10.1155/2021/66162792021(1-9)Online publication date: 4-Jan-2021
    • (2021)A review on the internet of thing (IoT) technologies in controlling ocean environmentEnergy Sources, Part A: Recovery, Utilization, and Environmental Effects10.1080/15567036.2021.1960932(1-19)Online publication date: 27-Jul-2021
    • (2021)Internet of Things Concept and Its ApplicationsSmart Sensors for Industrial Internet of Things10.1007/978-3-030-52624-5_2(7-36)Online publication date: 2-Feb-2021
    • (2020)Towards combining data prediction and internet of things to manage milk production on dairy cowsComputers and Electronics in Agriculture10.1016/j.compag.2019.105156169(105156)Online publication date: Feb-2020
    • (2020)IoT Technology with Marine Environment Protection and MonitoringProceedings of International Conference on Smart Computing and Cyber Security10.1007/978-981-15-7990-5_7(81-89)Online publication date: 28-Nov-2020
    • (2019)DEVELOPMENT AND IMPLEMENTATION OF A MOBILE APPLICATION FOR THE MEASUREMENT OF TEMPERATURE AND RELATIVE HUMIDITY IN GREENHOUSE CROPSINMATEH Agricultural Engineering10.35633/INMATEH-59-18(161-168)Online publication date: 20-Dec-2019
    • (2019)Internet of Things in Marine Environment Monitoring: A ReviewSensors10.3390/s1907171119:7(1711)Online publication date: 10-Apr-2019

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