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

Yang, Xing, Shu, Lei, Jianing, Chen , Mohamed Amine, Ferrag, Jun, Wu, Nurellari, Edmond and Kai, Huang (2020) A Survey on Smart Agriculture: Development Modes, Technologies, and Security and Privacy Challenges. IEEE/CAA Journal of Automatica Sinica, 8 (2). pp. 273-302. ISSN 2329-9266

Full content URL: https://ieeexplore.ieee.org/document/9269526

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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.

Keywords:Smart agriculture, Agriculture, Agricultural Internet of Things, Agricultural Artificial intelligence, Security, Agricultural automation
Subjects:D Veterinary Sciences, Agriculture and related subjects > D411 Agricultural Pests and Diseases
H Engineering > H600 Electronic and Electrical Engineering
D Veterinary Sciences, Agriculture and related subjects > D471 Agricultural Machinery
H Engineering > H640 Communications Engineering
D Veterinary Sciences, Agriculture and related subjects > D470 Agricultural Technology
D Veterinary Sciences, Agriculture and related subjects > D400 Agriculture
Divisions:College of Science > School of Engineering
ID Code:43791
Deposited On:03 Feb 2021 16:38

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