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Research Article | Open Access |

Internet of Things based Expert System for Smart Agriculture

Author 1: Raheela Shahzadi Author 2: Javed Ferzund Author 3: Muhammad Tausif Author 4: Muhammad Asif Suryani
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 7, No. 9 · Published 2016 · Cited by 105

DOI: https://doi.org/10.14569/IJACSA.2016.070947

Abstract

Agriculture sector is evolving with the advent of the information and communication technology. Efforts are being made to enhance the productivity and reduce losses by using the state of the art technology and equipment. As most of the farmers are unaware of the technology and latest practices, many expert systems have been developed in the world to facilitate the farmers. However, these expert systems rely on the stored knowledge base. We propose an expert system based on the Internet of Things (IoT) that will use the input data collected in real time. It will help to take proactive and preventive actions to minimize the losses due to diseases and insects/pests.

Keywords

How to Cite this Article

Shahzadi, R., Ferzund, J., Tausif, M., & Suryani, M. A. (2016). Internet of Things based Expert System for Smart Agriculture. International Journal of Advanced Computer Science and Applications, 7(9). https://doi.org/10.14569/IJACSA.2016.070947

Shahzadi, Raheela, et al.. "Internet of Things based Expert System for Smart Agriculture." International Journal of Advanced Computer Science and Applications, vol. 7, no. 9, 2016, https://doi.org/10.14569/IJACSA.2016.070947.

@article{Shahzadi2016,
  title     = {Internet of Things based Expert System for Smart Agriculture},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {7},
  number    = {9},
  year      = {2016},
  publisher = {The Science and Information Organization},
  author    = {Raheela Shahzadi and Javed Ferzund and Muhammad Tausif and Muhammad Asif Suryani},
  doi       = {10.14569/IJACSA.2016.070947},
  url       = {https://doi.org/10.14569/IJACSA.2016.070947}
}

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