4.7 Review

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

Journal

IEEE-CAA JOURNAL OF AUTOMATICA SINICA
Volume 8, Issue 4, Pages 718-752

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JAS.2021.1003925

Keywords

Agricultural internet of things (IoT); internet of things (IoT); smart agriculture; smart farming; sustainable agriculture

Funding

  1. Research Start-Up Fund for Talent Researcher of Nanjing Agricultural University [77H0603]
  2. National Natural Science Foundation of China [62072248]

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This paper comprehensively reviews emerging technologies for IoT-based smart agriculture, including UAVs, wireless technologies, and cloud computing. It provides a classification of IoT applications for smart agriculture and discusses the latest methods for supply chain management based on blockchain technology. Real projects using these technologies are showcased, along with open research challenges and future research directions for agricultural IoTs.
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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