The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
A Survey on Smart Agriculture: Development Modes, Technologies, and Security and Privacy Challenges
Open accessAbstract
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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1 retracted
Leng, K., Bi, Y., Jing, L., Fu, H.-C., & Van Nieuwenhuyse, I. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2018.04.061 · Cited by 397
RetractedAzuma, R. T. (1997) · Presence: Teleoperators and Virtual Environments · doi:10.1162/pres.1997.6.4.355 · Cited by 10,121
Edge computing: Vision and challenges
Shi, W., Cao, J., Zhang, Q., Li, Y., & Xu, L. (2016) · IEEE Internet of Things Journal · doi:10.1109/jiot.2016.2579198 · Cited by 8,733
The role of renewable energy in the global energy transformation
Gielen, D., Boshell, F., Saygin, D., Bazilian, M. D., Wagner, N., & Gorini, R. (2019) · Energy Strategy Reviews · doi:10.1016/j.esr.2019.01.006 · Cited by 4,973
Blockchain-based traceability in Agri-Food supply chain management: A practical implementation
Caro, M. P., Ali, M. S., Vecchio, M., & Giaffreda, R. (2018) · 2018 IoT Vertical and Topical Summit on Agriculture - Tuscany (IOT Tuscany) · doi:10.1109/iot-tuscany.2018.8373021 · Cited by 861
Cyber and Physical Security Vulnerability Assessment for IoT-Based Smart Homes
Ali, B., & Awad, A. (2018) · Sensors · doi:10.3390/s18030817 · Cited by 344
A prediction model framework for cyber-attacks to precision agriculture technologies
West, J. (2018) · Journal of Agricultural & Food Information · doi:10.1080/10496505.2017.1417859 · Cited by 61
Cited by
IoT-Enabled Smart Agriculture: Architecture, Applications, and Challenges
Quy, V. K., Hau, N. V., Anh, D. V., Quy, N. M., Ban, N. T., Lanza, S., Randazzo, G., & Muzirafuti, A. (2022) · Applied Sciences · doi:10.3390/app12073396 · Cited by 458
Physical Security and Safety of IoT Equipment: A Survey of Recent Advances and Opportunities
Yang, X., Shu, L., Liu, Y., Hancke, G. P., Ferrag, M. A., & Huang, K. (2022) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2022.3141408 · Cited by 93
Self-citationToward Sustainability: Trade-Off Between Data Quality and Quantity in Crop Pest Recognition
Li, Y., & Chao, X. (2021) · Frontiers in Plant Science · doi:10.3389/fpls.2021.811241 · Cited by 65
Metadata
- Authors
- Yang, X., Shu, L., Chen, J., Ferrag, M. A., Wu, J., Nurellari, E., & Huang, K.
- Venue
- IEEE/CAA Journal of Automatica Sinica
- Published
- 2021-02
- Volume
- 8
- Issue
- 2
- Pages
- 273-302
- ISSN
- 2329-9266 (ISSN-L)
- 2329-9274
- OpenAlex
- W3110407708
- Cited by
- 460
- References
- 7
- FWCI
- 29.42
- Type
- journal article
- Language
- en
- Open access
- green
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- Yang, X., Shu, L., Chen, J., Ferrag, M. A., Wu, J., Nurellari, E., & Huang, K. (2021). A Survey on Smart Agriculture: Development Modes, Technologies, and Security and Privacy Challenges. IEEE/CAA Journal of Automatica Sinica. https://doi.org/10.1109/jas.2020.1003536
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