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Volume 8 Issue 2
Feb.  2021

IEEE/CAA Journal of Automatica Sinica

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Article Navigation >  IEEE/CAA Journal of Automatica Sinica  > 2021  >  8(2): 273-302
Xing Yang, Lei Shu, Jianing Chen, Mohamed Amine Ferrag, Jun Wu, Edmond Nurellari and Kai Huang, "A Survey on Smart Agriculture: Development Modes, Technologies, and Security and Privacy Challenges," IEEE/CAA J. Autom. Sinica, vol. 8, no. 2, pp. 273-302, Feb. 2021. doi: 10.1109/JAS.2020.1003536
Citation: Xing Yang, Lei Shu, Jianing Chen, Mohamed Amine Ferrag, Jun Wu, Edmond Nurellari and Kai Huang, "A Survey on Smart Agriculture: Development Modes, Technologies, and Security and Privacy Challenges," IEEE/CAA J. Autom. Sinica, vol. 8, no. 2, pp. 273-302, Feb. 2021. doi: 10.1109/JAS.2020.1003536
shu

A Survey on Smart Agriculture: Development Modes, Technologies, and Security and Privacy Challenges

doi: 10.1109/JAS.2020.1003536
  • 1.

    College of Engineering, Nanjing Agricultural University, Nanjing 210031, China

  • 2.

    College of Engineering, Nanjing Agricultural University, Nanjing 210031, China

  • 3.

    School of Cyber Security, Shanghai Jiao Tong University, Shanghai 200240, China

  • 4.

    Department of Computer Science, Guelma University, B.P. 401, 24000, Algeria

  • 5.

    School of Engineering, University of Lincoln, Lincoln LN67TS, UK

Funds:

the National Natural Science Foundation of China 62072248

the National Natural Science Foundation of China 61902188

in part by China Postdoctoral Science Foundation 2019M651713

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    Abstract
  • With the deep combination of both modern information technology and traditional agriculture, the era of agriculture 4.0, which takes the form of smart agriculture, has come. Smart agriculture provides solutions for agricultural intelligence and automation. However, information security issues cannot be ignored with the development of agriculture brought by modern information technology. In this paper, three typical development modes of smart agriculture (precision agriculture, facility agriculture, and order agriculture) are presented. Then, 7 key technologies and 11 key applications are derived from the above modes. Based on the above technologies and applications, 6 security and privacy countermeasures (authentication and access control, privacy-preserving, blockchain-based solutions for data integrity, cryptography and key management, physical countermeasures, and intrusion detection systems) are summarized and discussed. Moreover, the security challenges of smart agriculture are analyzed and organized into two aspects: 1) agricultural production, and 2) information technology. Most current research projects have not taken agricultural equipment as potential security threats. Therefore, we did some additional experiments based on solar insecticidal lamps Internet of Things, and the results indicate that agricultural equipment has an impact on agricultural security. Finally, more technologies (5 G communication, fog computing, Internet of Everything, renewable energy management system, software defined network, virtual reality, augmented reality, and cyber security datasets for smart agriculture) are described as the future research directions of smart agriculture.

     

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