Application of big data technology in agricultural Internet of Things

Chunling Zhang and Zunfeng Liu

International Journal of Distributed Sensor Networks, 2019, vol. 15, issue 10, 1550147719881610

Abstract: 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.

Keywords: Big data; Internet of Things; sensor; neural network (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:intdis:v:15:y:2019:i:10:p:1550147719881610

DOI: 10.1177/1550147719881610

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