A Digitalized Farm Management Support System Using Wireless Sensor Network (WSN)

Yusuf Nura Muhammad; Issa Abdulmumeen Adekunle; Musa Maryam Abdullahi

doi:doi:10.11648/j.iotcc.20190704.12

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A Digitalized Farm Management Support System Using Wireless Sensor Network (WSN)

Yusuf Nura Muhammad, Issa Abdulmumeen Adekunle, Musa Maryam Abdullahi

Published in Internet of Things and Cloud Computing (Volume 7, Issue 4)

Received: 7 September 2019 Accepted: 8 October 2019 Published: 21 October 2019

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Abstract

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.

Published in	Internet of Things and Cloud Computing (Volume 7, Issue 4)
DOI	10.11648/j.iotcc.20190704.12
Page(s)	95-109
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

IoT, ThingSpeak, WSN, Nodes, Sensors

References

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[4]	Damas, M. P. (2001). fieldbus for integrated management of extensive areas of irrigated land. Microprocessors Microsyst, 25, 177–184.
[5]	Flores, A. (2003, Frost and Sullivan,.). Speeding up data delivery for precision agriculture. Agric. Res. Mag. Retrieved from The United State Department of Agriculture (USDA: http://www.freescale.com, http://www.mindbranch.
[6]	Gomide, R. I. (2001). An automatic data acquisition and control mobile laboratory network for crop production systems data management and spatial variability studies in the Brazilian center-west region. The American Society of Agriculture Engineers, (ASAE Paper) (No.: 01-1046.).
[7]	Jensen, A. B. (2000). a web-based system for personalized decision support in crop management. Comput. Elect. Agric.
[8]	K. Shinghal, A. N. (2010). Intelligent Humidity Sensor for Wireless Sensor Network for potato farming. International Journal of Engineering Science and Technology, Vol. 2 (8), 3955-3963.
[9]	Lee, W. B. (2002). Silage yield monitoring system. The American Society of Agriculture Engineers, ASAE Paper (No.: 02-1165.).
[10]	M. Abdelaal, O. T. (December 2-4, 2013). An Efficient and Adaptive Data Compression Technique for Energy Conservation in Wireless Sensor Networks. IEEE conference on wireless sensor (ICWiSe2013),. kuching, Sarawak: IEEE.
[11]	M. Sherine, A. E.-k.-B. (2013). Precision farming solution in Egypt using the wireless sensor network technology. Egyptian Informatics Journal (2013), 14, 221–233.
[12]	Mahan, J. W. (2004). Upchurch, Design and Construction of a Wireless Infrared Thermometry System.. The USDA Annual Report. Project Number: 6208-21000-012-03.
[13]	N. Wang, N. M. ((2005) 501–14.). Wireless sensors in agriculture and food industry—Recent development and future perspective; Computers and Electronics in Agriculture. available online at www.science direct.com.
[14]	R. Khan, I. A. (2013). Wireless Sensor Network Based Irrigation Management System for Container Grown Crops in Pakistan. World Applied Sciences Journal, 24 (8), 1111-1118.
[15]	S. Adebayo, A. A. (October, 2015). Increasing Agricultural Productivity in Nigeria Using Wireless Sensor Network (WSN). African Journal of Computing & ICT, Vol 8. (No. 3 Issue 2).
[16]	S. Getha, R. P. (2016). Smart Irrigation Control Using WSNs, GSM and Android phone,. Asian journal of information technology, 15 (19), 3780-3786.
[17]	Srdjan Krco, V. T. (2007). Mobile Network Supported Wireless Sensor Network Services. IEEE.
[18]	Y. J. Kim, R. G. (July 2008.). Network, Remote Sensing and Control of an Irrigation System Using a Distributed Wireless Sensor;. IEEE Transactions On Instrumentation and Measurement, 57.

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APA Style

Yusuf Nura Muhammad, Issa Abdulmumeen Adekunle, Musa Maryam Abdullahi. (2019). A Digitalized Farm Management Support System Using Wireless Sensor Network (WSN). Internet of Things and Cloud Computing, 7(4), 95-109. https://doi.org/10.11648/j.iotcc.20190704.12

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ACS Style

Yusuf Nura Muhammad; Issa Abdulmumeen Adekunle; Musa Maryam Abdullahi. A Digitalized Farm Management Support System Using Wireless Sensor Network (WSN). Internet Things Cloud Comput. 2019, 7(4), 95-109. doi: 10.11648/j.iotcc.20190704.12

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AMA Style

Yusuf Nura Muhammad, Issa Abdulmumeen Adekunle, Musa Maryam Abdullahi. A Digitalized Farm Management Support System Using Wireless Sensor Network (WSN). Internet Things Cloud Comput. 2019;7(4):95-109. doi: 10.11648/j.iotcc.20190704.12

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@article{10.11648/j.iotcc.20190704.12,
  author = {Yusuf Nura Muhammad and Issa Abdulmumeen Adekunle and Musa Maryam Abdullahi},
  title = {A Digitalized Farm Management Support System Using Wireless Sensor Network (WSN)},
  journal = {Internet of Things and Cloud Computing},
  volume = {7},
  number = {4},
  pages = {95-109},
  doi = {10.11648/j.iotcc.20190704.12},
  url = {https://doi.org/10.11648/j.iotcc.20190704.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.iotcc.20190704.12},
  abstract = {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.},
 year = {2019}
}

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TY  - JOUR
T1  - A Digitalized Farm Management Support System Using Wireless Sensor Network (WSN)
AU  - Yusuf Nura Muhammad
AU  - Issa Abdulmumeen Adekunle
AU  - Musa Maryam Abdullahi
Y1  - 2019/10/21
PY  - 2019
N1  - https://doi.org/10.11648/j.iotcc.20190704.12
DO  - 10.11648/j.iotcc.20190704.12
T2  - Internet of Things and Cloud Computing
JF  - Internet of Things and Cloud Computing
JO  - Internet of Things and Cloud Computing
SP  - 95
EP  - 109
PB  - Science Publishing Group
SN  - 2376-7731
UR  - https://doi.org/10.11648/j.iotcc.20190704.12
AB  - 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.
VL  - 7
IS  - 4
ER  -

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Author Information

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

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Plain Text BibTeX RIS

APA Style

Yusuf Nura Muhammad, Issa Abdulmumeen Adekunle, Musa Maryam Abdullahi. (2019). A Digitalized Farm Management Support System Using Wireless Sensor Network (WSN). Internet of Things and Cloud Computing, 7(4), 95-109. https://doi.org/10.11648/j.iotcc.20190704.12

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ACS Style

Yusuf Nura Muhammad; Issa Abdulmumeen Adekunle; Musa Maryam Abdullahi. A Digitalized Farm Management Support System Using Wireless Sensor Network (WSN). Internet Things Cloud Comput. 2019, 7(4), 95-109. doi: 10.11648/j.iotcc.20190704.12

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AMA Style

Yusuf Nura Muhammad, Issa Abdulmumeen Adekunle, Musa Maryam Abdullahi. A Digitalized Farm Management Support System Using Wireless Sensor Network (WSN). Internet Things Cloud Comput. 2019;7(4):95-109. doi: 10.11648/j.iotcc.20190704.12

Copy | Download

@article{10.11648/j.iotcc.20190704.12,
  author = {Yusuf Nura Muhammad and Issa Abdulmumeen Adekunle and Musa Maryam Abdullahi},
  title = {A Digitalized Farm Management Support System Using Wireless Sensor Network (WSN)},
  journal = {Internet of Things and Cloud Computing},
  volume = {7},
  number = {4},
  pages = {95-109},
  doi = {10.11648/j.iotcc.20190704.12},
  url = {https://doi.org/10.11648/j.iotcc.20190704.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.iotcc.20190704.12},
  abstract = {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.},
 year = {2019}
}

Copy | Download

TY  - JOUR
T1  - A Digitalized Farm Management Support System Using Wireless Sensor Network (WSN)
AU  - Yusuf Nura Muhammad
AU  - Issa Abdulmumeen Adekunle
AU  - Musa Maryam Abdullahi
Y1  - 2019/10/21
PY  - 2019
N1  - https://doi.org/10.11648/j.iotcc.20190704.12
DO  - 10.11648/j.iotcc.20190704.12
T2  - Internet of Things and Cloud Computing
JF  - Internet of Things and Cloud Computing
JO  - Internet of Things and Cloud Computing
SP  - 95
EP  - 109
PB  - Science Publishing Group
SN  - 2376-7731
UR  - https://doi.org/10.11648/j.iotcc.20190704.12
AB  - 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.
VL  - 7
IS  - 4
ER  -

Copy | Download