Internet of Things and Cloud Computing
Volume 7, Issue 4, December 2019, Pages: 95-109
Received: Sep. 7, 2019;
Accepted: Oct. 8, 2019;
Published: Oct. 21, 2019
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Yusuf Nura Muhammad, Department of Mathematical Sciences, Abubakar Tafawa Balewa University, Bauchi, Nigeria
Issa Abdulmumeen Adekunle, Department of Mathematical Sciences, Abubakar Tafawa Balewa University, Bauchi, Nigeria
Musa Maryam Abdullahi, Department of Mathematical Sciences, Abubakar Tafawa Balewa University, Bauchi, Nigeria
The major challenge of irrigation farming is not having full control over the activities on the farmland and its unpredictable environment factors which in most cases, if not well managed, brings about low agricultural productivity. In this paper, as against the traditional manual control procedures which are time consuming, labor expensive, and most time led to taking bad key decisions concerning the three important environmental factors vis: temperature, humidity, and moisture of the farmland, we presents the design and implementation of farm management support system using WSN to sense and sent SMS about these three important farm field parameters to farmers using ATMEGA 328 controller. The system is designed to allow remote tracking of the parameters via an IoT cloud computing platform (ThingSpeak) and perform some Statistical analysis like temperature humidity variation and difference at a particular point in time on the sensed data using matlab. The developed system is scalable to incorporate the tracking of many other parameters and actions such as soil fertility, required soil nutrient, or trigger actions such as releasing water valve or activate alarming unit if certain parameter/s cross defined threshold. This research shows the importance of using wireless sensor network in precision farm field as the system solves the problem of continuous monitoring of data acquisition.
Yusuf Nura Muhammad,
Issa Abdulmumeen Adekunle,
Musa Maryam Abdullahi,
A Digitalized Farm Management Support System Using Wireless Sensor Network (WSN), Internet of Things and Cloud Computing.
Vol. 7, No. 4,
2019, pp. 95-109.
Copyright © 2019 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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