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author:

Dong, Xueying (Dong, Xueying.) [1] | Zheng, Xianghan (Zheng, Xianghan.) [2] (Scholars:郑相涵) | Lu, Xiaoliang (Lu, Xiaoliang.) [3] | Lin, Xiaowei (Lin, Xiaowei.) [4]

Indexed by:

EI Scopus

Abstract:

With the rapid development of the social economy and the continuous improvement of people's quality of life, under the background of promoting 'Internet +' modern agriculture, the safety of agricultural products has aroused widespread concern in society, and further promoted the research of traceability technology of reliable and credible agricultural products. This paper proposes a method that apply the Internet of Things and blockchain technology to agricultural traceability scenarios. The method uses agricultural sensors to detect product production environment parameters, improve production efficiency, and uses blockchain technology combined with asymmetric passwords to provide security for the Internet of Things. Blockchain technology makes data irreversible and traceable, which enables the traceability of agricultural products to be realized. This paper also proposes a fusion method of blockchain technology and intelligent technology. It uses machine learning methods to analyze the production and sales data on the chain, helping producers and enterprises to improve efficiency and solve practical problems. © 2019 IEEE.

Keyword:

Agricultural products Agricultural robots Big data Blockchain Cloud computing Economic and social effects Efficiency Internet of things Learning systems Social networking (online)

Community:

  • [ 1 ] [Dong, Xueying]School of Mathematics and Computer, Fuzhou University, National Key R and D, China
  • [ 2 ] [Zheng, Xianghan]School of Mathematics and Computer, Fuzhou University, National Key R and D, China
  • [ 3 ] [Lu, Xiaoliang]School of Mathematics and Computer, Fuzhou University, National Key R and D, China
  • [ 4 ] [Lin, Xiaowei]School of Mathematics and Computer, Fuzhou University, National Key R and D, China

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Year: 2019

Page: 1511-1518

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 9

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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