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Smart Farm Intelligence Model to Uplift Farmers in Rural Pakistan

Received: 14 January 2019     Accepted: 12 March 2019     Published: 29 March 2019
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Abstract

Information and Communication Technology (ICT) is playing an important role for making decisions in many fields including agriculture and now the economists, researchers, and policymakers are focusing to improve agricultural development through ICT to innovate the existing information and monitoring system, to cut operating cost and increase farmer's profit. Smart farming also one of the innovative approaches it provides a broader picture of Information and Communication Technologies to enhance agricultural production, these technologies transfer important and timely information to make decisions for different farming activities by their own or combine with other models. In this research, we made an effort to develop a smart farming model to uplift farmers in Pakistan. In this model, we assimilated diverse modules related to Sensing, Communication, data analysis systems, and user control to check the farm environment remotely. For easy access, availability and affordability we designed a Smart farm model with low-cost devices so that low - Income farmers can also get benefits.

Published in International Journal of Wireless Communications and Mobile Computing (Volume 6, Issue 4)
DOI 10.11648/j.wcmc.20180604.11
Page(s) 49-55
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2019. Published by Science Publishing Group

Keywords

ICT, Agriculture, Communication, Smart, Model

References
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Cite This Article
  • APA Style

    Sabir Hussain Awan, Sheeraz Ahmed, Muhammad Zaheer Hashim. (2019). Smart Farm Intelligence Model to Uplift Farmers in Rural Pakistan. International Journal of Wireless Communications and Mobile Computing, 6(4), 49-55. https://doi.org/10.11648/j.wcmc.20180604.11

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    ACS Style

    Sabir Hussain Awan; Sheeraz Ahmed; Muhammad Zaheer Hashim. Smart Farm Intelligence Model to Uplift Farmers in Rural Pakistan. Int. J. Wirel. Commun. Mobile Comput. 2019, 6(4), 49-55. doi: 10.11648/j.wcmc.20180604.11

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    AMA Style

    Sabir Hussain Awan, Sheeraz Ahmed, Muhammad Zaheer Hashim. Smart Farm Intelligence Model to Uplift Farmers in Rural Pakistan. Int J Wirel Commun Mobile Comput. 2019;6(4):49-55. doi: 10.11648/j.wcmc.20180604.11

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  • @article{10.11648/j.wcmc.20180604.11,
      author = {Sabir Hussain Awan and Sheeraz Ahmed and Muhammad Zaheer Hashim},
      title = {Smart Farm Intelligence Model to Uplift Farmers in Rural Pakistan},
      journal = {International Journal of Wireless Communications and Mobile Computing},
      volume = {6},
      number = {4},
      pages = {49-55},
      doi = {10.11648/j.wcmc.20180604.11},
      url = {https://doi.org/10.11648/j.wcmc.20180604.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.wcmc.20180604.11},
      abstract = {Information and Communication Technology (ICT) is playing an important role for making decisions in many fields including agriculture and now the economists, researchers, and policymakers are focusing to improve agricultural development through ICT to innovate the existing information and monitoring system, to cut operating cost and increase farmer's profit. Smart farming also one of the innovative approaches it provides a broader picture of Information and Communication Technologies to enhance agricultural production, these technologies transfer important and timely information to make decisions for different farming activities by their own or combine with other models. In this research, we made an effort to develop a smart farming model to uplift farmers in Pakistan. In this model, we assimilated diverse modules related to Sensing, Communication, data analysis systems, and user control to check the farm environment remotely. For easy access, availability and affordability we designed a Smart farm model with low-cost devices so that low - Income farmers can also get benefits.},
     year = {2019}
    }
    

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  • TY  - JOUR
    T1  - Smart Farm Intelligence Model to Uplift Farmers in Rural Pakistan
    AU  - Sabir Hussain Awan
    AU  - Sheeraz Ahmed
    AU  - Muhammad Zaheer Hashim
    Y1  - 2019/03/29
    PY  - 2019
    N1  - https://doi.org/10.11648/j.wcmc.20180604.11
    DO  - 10.11648/j.wcmc.20180604.11
    T2  - International Journal of Wireless Communications and Mobile Computing
    JF  - International Journal of Wireless Communications and Mobile Computing
    JO  - International Journal of Wireless Communications and Mobile Computing
    SP  - 49
    EP  - 55
    PB  - Science Publishing Group
    SN  - 2330-1015
    UR  - https://doi.org/10.11648/j.wcmc.20180604.11
    AB  - Information and Communication Technology (ICT) is playing an important role for making decisions in many fields including agriculture and now the economists, researchers, and policymakers are focusing to improve agricultural development through ICT to innovate the existing information and monitoring system, to cut operating cost and increase farmer's profit. Smart farming also one of the innovative approaches it provides a broader picture of Information and Communication Technologies to enhance agricultural production, these technologies transfer important and timely information to make decisions for different farming activities by their own or combine with other models. In this research, we made an effort to develop a smart farming model to uplift farmers in Pakistan. In this model, we assimilated diverse modules related to Sensing, Communication, data analysis systems, and user control to check the farm environment remotely. For easy access, availability and affordability we designed a Smart farm model with low-cost devices so that low - Income farmers can also get benefits.
    VL  - 6
    IS  - 4
    ER  - 

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Author Information
  • Department of Electrical Engineering, Iqra National University Peshawar, Pakistan

  • Department of Computer Science, Iqra National University, Peshawar, Pakistan

  • School of Economics and Management, Beijing University of Technology, Beijing, China

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