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A Web-based Decision Support System with SMS-based Technology for Agricultural Information and Weather Forecasting
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 180 - Number 16 |
| Year of Publication: 2018 |
| Authors: Jumoke Soyemi, Adesi Adesola Bolaji |
10.5120/ijca2018916338
|
Jumoke Soyemi, Adesi Adesola Bolaji . A Web-based Decision Support System with SMS-based Technology for Agricultural Information and Weather Forecasting. International Journal of Computer Applications. 180, 16 ( Feb 2018), 1-6. DOI=10.5120/ijca2018916338
Abstract
This study designed a framework to assist farmers increase their productivity by receiving weather information through decision support system. The system has been developed to keep track of weather information related to agriculture. With the growing population and demands to improve crop productivity; there is the need to make available sustainable resource practice that serves better both the communities and the nation. In satisfying this need, a web-based application which contains informative and insightful agricultural tutelages was developed to aid decision making in agro-processing, stimulate the farmer’s climate information and provide useful information required to enhance crop productivity, especially in the rural areas. The application uses Short Message Service (SMS) Technology to disseminate weather forecasting to farmers according to their eWarning setup. Therefore, the Decision Support System with all the ready agricultural and weather information will be a huge advantage to farmers at large and is expected to impact positively on the present economy situation of the nation through increase in smallholder’s productivity.
References
- IJ. Allan, “Agricultural Information and Decision Support by SMS,” EFITA 2003 Conference. pp.286-292, 2003.
- JC. Ayubu, RS. Mlozil, M. Henry, DT. Siza and C. Respickius, “A Decision Support System for Enhancing Crop Productivity of Smallholder Farmers in Semi-Arid Agriculture” International Journal of Information and Communication Technology Research, col. 3, pp. 238-248, 2013.
- T. Pornchai, and A. Leisa, “Decision Support System Data for Farmer Decision Making”, In Proceedings of Asian Federation for Information Technology in Agriculture, pp. 472-486, 2014.
- Science Daily, “Weather Forecasting”. Retrieved April 7, 2017 from: https://www.sciencedaily.com/terms/weather_forecasting.htm. ScienceDaily features breaking news about the latest discoveries in science, health, the environment, technology, and more -- from major news services and leading universities, scientific journals, and research organizations.
- E. Turban, JE. Aronson, J.E.,and Liang, T.P. (2005), Decision Support Systems and Intelligent Systems(7th ed.). New Jersey, USA, Pearson Prentice Hall.
- R. Vansh, and M. Supriya, “Decision Support System, Its Components, Model and Types of Managerial Decision”, International Journal of Innovative Research & Studies, 2(12):413-418, 2013.
- KK. Veena, and VM. Thakare, “Short Message Service using SMS Gateway”, (IJCSE) International Journal on Computer Science and Engineering, vol.2, pp. 1487-1491, 2010.
- ML. Waghmode, and PP. Jamsandekar, “Decision Support Systems and its Applications in different Sectors: Literature Review”, International Journal of Advance Research in Computer Science and Management Studies, vol. 2, pp.110-115, 2014.
- WMO, “Guide to Agricultural Meteorological Practices (GAMP)”, World Meteorological Organization (WMO), pp.134, 2010.
- HT. Zhang, Q. Yang, CS. Lai, and LL. Lai, “New trends for decision support systems”. Paper presented at the IEEE International Conference on Systems, Man, and Cybernetic, 2012.
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