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

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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.

Agricultural internet of things (IoT)internet of things (IoT)smart agriculturesmart farmingsustainable agriculture

Othmane Friha、Mohamed Amine Ferrag、Lei Shu、Leandros Maglaras、Xiaochan Wang

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Networks and Systems Laboratory, University of Badji Mokhtar-Annaba, Annaba 23000, Algeria

Department of Computer Science, Guelma University, Gulema 24000, Algeria

College of Engineering, Nanjing Agricultural University, Nanjing 210095, China,School of Engineering, University of Lincoln, Lincoln LN67TS, UK

School of Computer Science and Informatics, De Montfort University, Leicester LE19BH, UK

Department of Electrical Engineering, Nanjing Agricultural University, Nanjing 210095, China

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Research Start-Up Fund for Talent Researcher of Nanjing Agricultural Universityin part by the National Natural Science Foundation of China

77H060362072248

2021

自动化学报(英文版)
中国自动化学会,中国科学院自动化研究所,中国科技出版传媒股份有限公司

自动化学报(英文版)

CSTPCDCSCDSCIEI
ISSN:2329-9266
年,卷(期):2021.8(4)
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