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Research Article | Open Access |

Modeling Smart Agriculture using SensorML

Author 1: Maha Arooj Author 2: Muhammad Asif Author 3: Syed Zeeshan Shah
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 8, No. 5 · Published 2017 · Cited by 7

DOI: 10.14569/IJACSA.2017.080562

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Abstract

IoT is transforming the physical world into a digital world by connecting people and things. This paper describes state of the art domains where IoT is playing a key role. Smart agriculture is selected as a case study of IoT application domain. OGC sensor web enablement framework is studied and discussed its application for smart agriculture. This paper mainly focuses on modeling the smart agriculture system using SensorML of OGC. It also identified, developed and modeled few major components/sub-systems/systems required for smart agriculture. This study also demonstrated how SensorML can be utilized in modeling IoT enabled systems.

Keywords

Internet of Things Smart Agriculture Sensors SensorML OGC SWE Sensor Web

How to Cite this Article

Arooj, M., Asif, M., & Shah, S. Z. (2017). Modeling Smart Agriculture using SensorML. International Journal of Advanced Computer Science and Applications, 8(5). https://doi.org/10.14569/IJACSA.2017.080562

Arooj, Maha, et al.. "Modeling Smart Agriculture using SensorML." International Journal of Advanced Computer Science and Applications, vol. 8, no. 5, 2017, https://doi.org/10.14569/IJACSA.2017.080562.

@article{Arooj2017,
  title     = {Modeling Smart Agriculture using SensorML},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {8},
  number    = {5},
  year      = {2017},
  publisher = {The Science and Information Organization},
  author    = {Maha Arooj and Muhammad Asif and Syed Zeeshan Shah},
  doi       = {10.14569/IJACSA.2017.080562},
  url       = {https://doi.org/10.14569/IJACSA.2017.080562}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.

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Volume 17 No. 11, November 2026
Paper Submission Due October 25, 2026
Review Notification November 15, 2026
Publication Date November 30, 2026
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