Application of big data technology in agricultural Internet of Things

This article first analyzes big data technology. Then, the agricultural Internet of Things system was established, and the acquisition of agricultural data was achieved through the establishment of sensor modules, image acquisition modules, and meteorological acquisition modules. The data are transm...

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Main Authors: Chunling Zhang, Zunfeng Liu
Format: Article
Language:English
Published: Wiley 2019-10-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1177/1550147719881610
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author Chunling Zhang
Zunfeng Liu
author_facet Chunling Zhang
Zunfeng Liu
author_sort Chunling Zhang
collection DOAJ
description This article first analyzes big data technology. Then, the agricultural Internet of Things system was established, and the acquisition of agricultural data was achieved through the establishment of sensor modules, image acquisition modules, and meteorological acquisition modules. The data are transmitted to the server through GPRS communication technology and 3G network card to realize data transmission. The Web Service technology is used to connect the Internet of Things with the neural network model to achieve data interoperability. By comparing the prediction results and actual data of the model, it is found that the prediction error of the model designed in this article is less than 1%, and the high-precision prediction of agricultural data is realized, which provides an effective guidance for the improvement of agricultural product quality and yield.
format Article
id doaj-art-52c6dad5080948f19493a898c524617b
institution Kabale University
issn 1550-1477
language English
publishDate 2019-10-01
publisher Wiley
record_format Article
series International Journal of Distributed Sensor Networks
spelling doaj-art-52c6dad5080948f19493a898c524617b2025-02-03T05:54:33ZengWileyInternational Journal of Distributed Sensor Networks1550-14772019-10-011510.1177/1550147719881610Application of big data technology in agricultural Internet of ThingsChunling Zhang0Zunfeng Liu1School of Economics and Management, Yanshan University, Qinhuangdao, ChinaSchool of Management, North China University of Science and Engineering, Tangshan, ChinaThis article first analyzes big data technology. Then, the agricultural Internet of Things system was established, and the acquisition of agricultural data was achieved through the establishment of sensor modules, image acquisition modules, and meteorological acquisition modules. The data are transmitted to the server through GPRS communication technology and 3G network card to realize data transmission. The Web Service technology is used to connect the Internet of Things with the neural network model to achieve data interoperability. By comparing the prediction results and actual data of the model, it is found that the prediction error of the model designed in this article is less than 1%, and the high-precision prediction of agricultural data is realized, which provides an effective guidance for the improvement of agricultural product quality and yield.https://doi.org/10.1177/1550147719881610
spellingShingle Chunling Zhang
Zunfeng Liu
Application of big data technology in agricultural Internet of Things
International Journal of Distributed Sensor Networks
title Application of big data technology in agricultural Internet of Things
title_full Application of big data technology in agricultural Internet of Things
title_fullStr Application of big data technology in agricultural Internet of Things
title_full_unstemmed Application of big data technology in agricultural Internet of Things
title_short Application of big data technology in agricultural Internet of Things
title_sort application of big data technology in agricultural internet of things
url https://doi.org/10.1177/1550147719881610
work_keys_str_mv AT chunlingzhang applicationofbigdatatechnologyinagriculturalinternetofthings
AT zunfengliu applicationofbigdatatechnologyinagriculturalinternetofthings