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Volume 8 Issue 4
Apr.  2021

IEEE/CAA Journal of Automatica Sinica

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Othmane Friha, Mohamed Amine Ferrag, Lei Shu, Leandros Maglaras, and Xiaochan Wang, "Internet of Things for the Future of Smart Agriculture: A Comprehensive Survey of Emerging Technologies," IEEE/CAA J. Autom. Sinica, vol. 8, no. 4, pp. 718-752, Apr. 2021. doi: 10.1109/JAS.2021.1003925
Citation: Othmane Friha, Mohamed Amine Ferrag, Lei Shu, Leandros Maglaras, and Xiaochan Wang, "Internet of Things for the Future of Smart Agriculture: A Comprehensive Survey of Emerging Technologies," IEEE/CAA J. Autom. Sinica, vol. 8, no. 4, pp. 718-752, Apr. 2021. doi: 10.1109/JAS.2021.1003925

Internet of Things for the Future of Smart Agriculture: A Comprehensive Survey of Emerging Technologies

doi: 10.1109/JAS.2021.1003925
Funds:  This work was supported in part by the Research Start-Up Fund for Talent Researcher of Nanjing Agricultural University (77H0603) and in part by the National Natural Science Foundation of China (62072248)
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  • This paper presents a comprehensive review of emerging technologies for the internet of things (IoT)-based smart agriculture. We begin by summarizing the existing surveys and describing emergent technologies for the agricultural IoT, such as unmanned aerial vehicles, wireless technologies, open-source IoT platforms, software defined networking (SDN), network function virtualization (NFV) technologies, cloud/fog computing, and middleware platforms. We also provide a classification of IoT applications for smart agriculture into seven categories: including smart monitoring, smart water management, agrochemicals applications, disease management, smart harvesting, supply chain management, and smart agricultural practices. Moreover, we provide a taxonomy and a side-by-side comparison of the state-of-the-art methods toward supply chain management based on the blockchain technology for agricultural IoTs. Furthermore, we present real projects that use most of the aforementioned technologies, which demonstrate their great performance in the field of smart agriculture. Finally, we highlight open research challenges and discuss possible future research directions for agricultural IoTs.


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    • We review the emerging technologies used by the Internet of Things for the future of smart agriculture.
    • We provide a classification of IoT applications for smart agriculture into seven categories, including, smart monitoring, smart water management, agrochemicals applications, disease management, smart harvesting, supply chain management, and smart agricultural practices.
    • We provide a taxonomy and a side-by-side comparison of the state-of-the-art methods toward supply chain management based on the blockchain technology for agricultural IoTs.
    • We highlight open research challenges and discuss possible future research directions for agricultural IoTs.


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