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Smart Farming: Internet of Things (IoT)-Based Sustainable Agriculture

Author

Listed:
  • Muthumanickam Dhanaraju

    (Department of Remote Sensing and GIS, Tamil Nadu Agricultural University, Coimbatore 641 003, Tamilnadu, India)

  • Poongodi Chenniappan

    (Department of Electronics and Communication Engineering, Bannari Amman Institute of Technology, Sathyamangalam 638 401, Tamilnadu, India)

  • Kumaraperumal Ramalingam

    (Department of Remote Sensing and GIS, Tamil Nadu Agricultural University, Coimbatore 641 003, Tamilnadu, India)

  • Sellaperumal Pazhanivelan

    (Water Technology Centre, Tamil Nadu Agricultural University, Coimbatore 641 003, Tamilnadu, India)

  • Ragunath Kaliaperumal

    (Water Technology Centre, Tamil Nadu Agricultural University, Coimbatore 641 003, Tamilnadu, India)

Abstract

Smart farming is a development that has emphasized information and communication technology used in machinery, equipment, and sensors in network-based hi-tech farm supervision cycles. Innovative technologies, the Internet of Things (IoT), and cloud computing are anticipated to inspire growth and initiate the use of robots and artificial intelligence in farming. Such ground-breaking deviations are unsettling current agriculture approaches, while also presenting a range of challenges. This paper investigates the tools and equipment used in applications of wireless sensors in IoT agriculture, and the anticipated challenges faced when merging technology with conventional farming activities. Furthermore, this technical knowledge is helpful to growers during crop periods from sowing to harvest; and applications in both packing and transport are also investigated.

Suggested Citation

  • Muthumanickam Dhanaraju & Poongodi Chenniappan & Kumaraperumal Ramalingam & Sellaperumal Pazhanivelan & Ragunath Kaliaperumal, 2022. "Smart Farming: Internet of Things (IoT)-Based Sustainable Agriculture," Agriculture, MDPI, vol. 12(10), pages 1-26, October.
    • Handle: RePEc:gam:jagris:v:12:y:2022:i:10:p:1745-:d:950018
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    References listed on IDEAS

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    Cited by:

    1. Marwan Albahar, 2023. "A Survey on Deep Learning and Its Impact on Agriculture: Challenges and Opportunities," Agriculture, MDPI, vol. 13(3), pages 1-22, February.
    2. Asuamah Yeboah, Samuel, 2023. "Empowering Sustainable Consumption: Harnessing the Potential of Smart Grid Systems and Internet of Things for Environmental Conservation," MPRA Paper 117978, University Library of Munich, Germany, revised 29 May 2023.
    3. Piotr Goliński & Patrycja Sobolewska & Barbara Stefańska & Barbara Golińska, 2022. "Virtual Fencing Technology for Cattle Management in the Pasture Feeding System—A Review," Agriculture, MDPI, vol. 13(1), pages 1-14, December.
    4. Gniewko Niedbała & Sebastian Kujawa, 2023. "Digital Innovations in Agriculture," Agriculture, MDPI, vol. 13(9), pages 1-10, August.

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