Mapping smart farming: Addressing agricultural challenges in data-driven era

被引:0
|
作者
Huo, Dongyang [1 ]
Malik, Asad Waqar [2 ,4 ]
Ravana, Sri Devi [1 ]
Rahman, Anis Ur [2 ,5 ]
Ahmedy, Ismail [3 ]
机构
[1] Univ Malaya, Fac Comp Sci & Informat Technol, Dept Informat Syst, Kuala Lumpur 50603, Malaysia
[2] Natl Univ Sci & Technol NUST, Dept Comp, Islamabad 44000, Pakistan
[3] Univ Malaya, Fac Comp Sci & Informat Technol, Dept Comp Syst & Technol, Kuala Lumpur 50603, Malaysia
[4] Missouri Univ Sci & Technol, Intelligent Syst Ctr, Rolla, MO USA
[5] Univ Jyvaskyla, Fac Math & Sci, Jyvaskyla, Finland
来源
关键词
Internet of things (IoT); Smart farming; Scientific mapping; Domain visualization; WIRELESS SENSOR NETWORKS; PRECISION AGRICULTURE; BIG DATA; THINGS IOT; INTERNET; FUTURE; TECHNOLOGIES; SECURITY; PRIVACY; SYSTEM;
D O I
10.1016/j.rser.2023.113858
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Internet of Things (IoT) technology plays an important role in advancing the transformation of labor-intensive traditional agriculture into data-driven smart farming by providing technological and theoretical support to address the challenges of food shortages caused by rapid population growth, as well as the sustainable development challenges posed by the scarcity of natural resources due to climate warming. IoT smart farming is a multidisciplinary field encompassing agricultural knowledge, communication technologies, automation, artificial intelligence, and computing. The research in this domain has rapidly expanded and accumulated. Despite the availability of some review studies, their primary focal points pertain to assessing the architectures, devices, and communication technologies utilized in IoT smart farming, thus providing a thorough introduction to this research domain. This review employs scientific mapping to visualize the IoT smart farming research domain, exploring various research themes and their profiles, identifying highly cited and important research in the citation networks, and tracking the evolution of research interests. It offers a comprehensive overview of the field and proposes potential future work to address current research gaps, promoting interdisciplinary collaboration to support decision-makers in the agriculture sector.
引用
收藏
页数:19
相关论文
共 50 条
  • [1] Mapping smart farming: Addressing agricultural challenges in data-driven era
    Huo, Dongyang
    Malik, Asad Waqar
    Ravana, Sri Devi
    Rahman, Anis Ur
    Ahmedy, Ismail
    [J]. Renewable and Sustainable Energy Reviews, 2024, 189
  • [2] Data Lake Architecture for Smart Fish Farming Data-Driven Strategy
    Benjelloun, Sarah
    El Aissi, Mohamed El Mehdi
    Lakhrissi, Younes
    El Haj Ben Ali, Safae
    [J]. APPLIED SYSTEM INNOVATION, 2023, 6 (01)
  • [3] Cloud Data-Driven Intelligent Monitoring System for Interactive Smart Farming
    Dineva, Kristina
    Atanasova, Tatiana
    [J]. SENSORS, 2022, 22 (17)
  • [4] Big Data-driven Agricultural Insights: Challenges and Opportunities.
    Chen, J. R.
    [J]. IN VITRO CELLULAR & DEVELOPMENTAL BIOLOGY-PLANT, 2015, 51 (04) : 492 - 492
  • [5] Big Data-driven Agricultural Insights: Challenges and Opportunities.
    Chen, J. R.
    [J]. IN VITRO CELLULAR & DEVELOPMENTAL BIOLOGY-ANIMAL, 2015, 51 (07) : 760 - 760
  • [6] Security and Privacy for Smart Meters: A Data-Driven Mapping Study
    Antoniadis, Ioannis I.
    Chatzidimitriou, Kyriakos C.
    Symeonidis, Andreas L.
    [J]. PROCEEDINGS OF 2019 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES EUROPE (ISGT-EUROPE), 2019,
  • [7] Addressing the grand challenges of poverty with data-driven creative service offerings
    Akter, Shahriar
    Hossain, Md Afnan
    Hani, Umme
    Vrontis, Demetris
    Thrassou, Alkis
    Arslan, Ahmad
    [J]. JOURNAL OF PRODUCT INNOVATION MANAGEMENT, 2024, 41 (02) : 236 - 266
  • [8] A data-driven future for Scottish farming?
    Loeb, Josh
    [J]. VETERINARY RECORD, 2022, 190 (01) : 7 - 7
  • [9] The global divide in data-driven farming
    Zia Mehrabi
    Mollie J. McDowell
    Vincent Ricciardi
    Christian Levers
    Juan Diego Martinez
    Natascha Mehrabi
    Hannah Wittman
    Navin Ramankutty
    Andy Jarvis
    [J]. Nature Sustainability, 2021, 4 : 154 - 160
  • [10] The global divide in data-driven farming
    Mehrabi, Zia
    McDowell, Mollie J.
    Ricciardi, Vincent
    Levers, Christian
    Martinez, Juan Diego
    Mehrabi, Natascha
    Wittman, Hannah
    Ramankutty, Navin
    Jarvis, Andy
    [J]. NATURE SUSTAINABILITY, 2021, 4 (02) : 154 - 160