Volume 6, Issue 4, December 2018, Page: 49-55
Smart Farm Intelligence Model to Uplift Farmers in Rural Pakistan
Sabir Hussain Awan, Department of Electrical Engineering, Iqra National University Peshawar, Pakistan
Sheeraz Ahmed, Department of Computer Science, Iqra National University, Peshawar, Pakistan
Muhammad Zaheer Hashim, School of Economics and Management, Beijing University of Technology, Beijing, China
Received: Jan. 14, 2019;       Accepted: Mar. 12, 2019;       Published: Mar. 29, 2019
DOI: 10.11648/j.wcmc.20180604.11      View  846      Downloads  126
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.
ICT, Agriculture, Communication, Smart, Model
To cite this article
Sabir Hussain Awan, Sheeraz Ahmed, Muhammad Zaheer Hashim, Smart Farm Intelligence Model to Uplift Farmers in Rural Pakistan, International Journal of Wireless Communications and Mobile Computing. Vol. 6, No. 4, 2018, pp. 49-55. doi: 10.11648/j.wcmc.20180604.11
Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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