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author:

Wu, S. (Wu, S..) [1] | Wang, Q. (Wang, Q..) [2] | Walt, W. (Walt, W..) [3] | Lei, G. (Lei, G..) [4]

Indexed by:

Scopus

Abstract:

Wu, S.; Wang, Q.; Walt, W., and Lei, G., 2020. Prediction model of the economic development of agricultural products logistics chain in port city. In: Yang, Y.; Mi, C.; Zhao, L., and Lam, S. (eds.), Global Topics and New Trends in Coastal Research: Port, Coastal and Ocean Engineering. Journal of Coastal Research, Special Issue No. 103, pp. 753-756. Coconut Creek (Florida), ISSN 0749-0208. In this work, a now prediction model for the economic development of port city's agricultural products logistics chain is proposed. Based on the prediction model, the port city's farm products logistics chain economic development data were extracted, and the overall logistics chain economic development prediction evaluation was carried out. Design simulation experiment, compare the design model and big data port city agricultural products logistics chain economic development prediction model error rate, prove the effectiveness of the study. © Coastal Education and Research Foundation, Inc. 2020.

Keyword:

development; farm products; logistics; Port

Community:

  • [ 1 ] [Wu, S.]Anxi College of Tea Science, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
  • [ 2 ] [Wang, Q.]College of Economics College of Strait Rural Development, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
  • [ 3 ] [Walt, W.]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350116, China
  • [ 4 ] [Lei, G.]Anxi College of Tea Science, Fujian Agriculture and Forestry University, Fuzhou, 350002, China

Reprint 's Address:

  • [Lei, G.]Anxi College of Tea Science, Fujian Agriculture and Forestry UniversityChina

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Source :

Journal of Coastal Research

ISSN: 0749-0208

Year: 2020

Issue: sp1

Volume: 103

Page: 753-756

0 . 8 5 4

JCR@2020

1 . 1 1 0

JCR@2021

ESI HC Threshold:159

JCR Journal Grade:4

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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