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Author:

Shi, J. (Shi, J..) | Zhang, J. (Zhang, J..) | Luan, Z. (Luan, Z..) | Lu, Q. (Lu, Q..) | Li, J. (Li, J..)

Indexed by:

EI Scopus

Abstract:

With the rapid development of mobile Internet technology, traditional classroom teaching, centralized lecturer training and other teaching methods can not meet the learning needs of modern farmers. Under the background of rural revitalization strategy, "Internet + farmer education"began to enter people's vision. This paper designs an open, sharing, multi-organization, multi- tenant farmer learning service cloud platform. Connect farmers and learning service organizations to the platform to break the geographical restrictions between farmers and service organizations. This study proposes a theory and model of farmer learning service, which provides diversified learning support services for farmer learning, provides personalized learning services for farmers through collaborative filtering algorithm, and promotes rural revitalization construction with informatization.  © 2023 IEEE.

Keyword:

Big Data Cloud Computing Platform Intelligent Agriculture Multi-tenant and multi-organization

Author Community:

  • [ 1 ] [Shi J.]Beijing University of Technology, Faculty of Information Technology, Beijing, China
  • [ 2 ] [Zhang J.]Beijing University of Technology, Faculty of Information Technology, Beijing, China
  • [ 3 ] [Luan Z.]Beijing University of Technology, Faculty of Information Technology, Beijing, China
  • [ 4 ] [Lu Q.]Beijing University of Technology, Faculty of Information Technology, Beijing, China
  • [ 5 ] [Li J.]Beijing University of Technology, Faculty of Information Technology, Beijing, China

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Source :

Year: 2023

Page: 1321-1325

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 9

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