An Online Poultry Diseases Monitoring System for Nigeria
American Journal of Software Engineering and Applications
Volume 6, Issue 2, April 2017, Pages: 18-28
Received: Mar. 21, 2017; Accepted: Mar. 31, 2017; Published: Apr. 24, 2017
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Authors
Moses Oyekunle Oyetunji, Department of Computer Science and Mathematics, Mountain Top University, Ibafo, Nigeria
Florence Alaba Oladeji, Department of Computer Science, University of Lagos, Akoka, Lagos, Nigeria
Olorunjube James Falana, Department of Computer Science and Mathematics, Mountain Top University, Ibafo, Nigeria
Peter Adebayo Idowu, Department of Computer Science and Engineering, Obafemi Awolowo University, Ile-Ife, Nigeria
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Abstract
Poultry disease statistics in Nigeria reveal a serious and growing problem with absolute fatality rate and casualty figure rising rapidly. A crucial goal of infectious disease surveillance is the early detection of epidemics, which is essential for disease control. The current system for monitoring poultry disease is based on conventional method using extension workers and confirmed case reports which has proved ineffective over the years. The poultry disease monitoring system aimed at assisting poultry farmers, healthcare officers and stakeholders alike to understand the distribution of poultry diseases and the state of poultry farms in Nigeria in order to ensure early detection and response during an outbreak. The system requirement was elicited from poultry farmers located within the south-western part of Nigeria using interviews while the requirements were designed using use-case diagrams for the representing data insertion and data query. The system was implemented using HTML, PHP and CSS while the database was implemented using MYSQL. In conclusion, the use of monitoring system would be of great importance in providing accurate, timely and detailed information about poultry disease in Nigeria. It will also help to alert disease control agencies about poultry related diseases in Nigeria.
Keywords
Poultry Disease, Monitoring System, Use-Case Modeling, Web 2.0, Software
To cite this article
Moses Oyekunle Oyetunji, Florence Alaba Oladeji, Olorunjube James Falana, Peter Adebayo Idowu, An Online Poultry Diseases Monitoring System for Nigeria, American Journal of Software Engineering and Applications. Vol. 6, No. 2, 2017, pp. 18-28. doi: 10.11648/j.ajsea.20170602.12
Copyright
Copyright © 2017 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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