Remote Scheduling System for Drip Irrigation System Using Geographic Information System

Kadeghe G. Fue; Camilius Sanga

doi:10.4236/jgis.2015.75044

Home > Journals > Earth & Environmental Sciences > JGIS

Journal of Geographic Information System > Vol.7 No.5, October 2015

Remote Scheduling System for Drip Irrigation System Using Geographic Information System ()

Kadeghe G. Fue, Camilius Sanga

Computer Centre, Sokoine University of Agriculture, Morogoro, Tanzania.

DOI: 10.4236/jgis.2015.75044 PDF HTML XML 4,295 Downloads 5,246 Views Citations

Abstract

The Internet is widely accessible in Tanzania. Most of the technologies used in different organizations have changed to address their functions using web based information systems. In this paper, attempt is made to design software system using geographical information system (GIS) for the spatial and temporal distribution of irrigation supply for large-scale drip irrigation systems in Tanzania. Map based information system has gained popularity after evolution of simple tools to present spatial information using Internet. Due to water scarcity, it is envisioned that by 2050 the world won’t have enough water for communities, industries and agriculture. Web based precision irrigation system refers to deployment of remotely precision irrigation services using the application interface that connects to the Internet. Hence, this study presents the GIS in the context of precision farming to achieve precision irrigation strategy with special reference to precision farming of tea in Tanzania. The GIS-based irrigation scheduling system was designed for the scheduling daily drip irrigation water deliveries and regular monitoring of irrigation delivery performance for maximum yield. The “Scheduling” program computes the right amount of irrigation deliveries based on tea water requirements. The “Monitoring” program gives information on the uniformity of water distribution and the shortfall or excess.

Keywords

Precision Farming, Irrigation, Scheduling, GIS, Software, System, Remote Scheduling

Share and Cite:

Fue, K. and Sanga, C. (2015) Remote Scheduling System for Drip Irrigation System Using Geographic Information System. Journal of Geographic Information System, 7, 551-563. doi: 10.4236/jgis.2015.75044.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	Official Online Gateway of the United Republic of Tanzania. http://www.tanzania.go.tz/agriculture.html
[2]	Kingalu, J. (2008) Drip Irrigation and Fertigation of Tea. Developing Agricultural and Agri-Business Innovation in Africa. http://info.worldbank.org/etools/docs/library/243684/session2aTzCaseStudiesTeaIrrigationMFPs.pdf)
[3]	Montgomery, G.E. and Schuch, H.C. (1993) GIS Data Conversion. GIS Data Conversion Handbook, 27-45. http://dx.doi.org/10.1002/9780470173244.ch2
[4]	Ozdilek, O. and Seker, D.Z. (2004) A Web-Based Application for Real-Time GIS. http://www.isprs.org/proceedings/XXXV/congress/yf/papers/934.pdf
[5]	Rowshon, M.K. and Amin, M.S.M. (2010) GIS-Based Irrigation Water Management for Precision Farming of Rice. International Journal of Agriculture and Biological Engineering, 3, 27.
[6]	Adnan, M., Singleton, A.D. and Longley, P.A. (2010) Developing Efficient Web-Based GIS Applications. CASA Working Papers Series, Paper 153.
[7]	Fortes, P.S., Platonov, A.E. and Pereira, L.S. (2005) GISAREG: A GIS-Based Irrigation Scheduling Simulation Model to Support Improved Water Use. Agricultural Water Management, 77, 159-179. http://dx.doi.org/10.1016/j.agwat.2004.09.042
[8]	Zairi, A., El Amami, H., Slatni, A., Pereira, L.S., Rodrigues, P.N. and Machado, T. (2003) Coping with Drought: Deficit Irrigation Strategies for Cereals and Field Horticultural Crops in Central Tunisia. In: Tools for Drought Mitigation in Mediterranean Regions, Springer, Netherlands, 181-201. http://dx.doi.org/10.1007/978-94-010-0129-8_11
[9]	Pereira, L.S., Teodoro, P.R., Rodrigues, P.N. and Teixeira, J.L. (2003) Irrigation Scheduling Simulation: The Model ISAREG. In: Rossi, G., Cancelliere, A., Pereira, L.S., Oweis, T., Shatanawi, M. and Zairi, A., Eds., Tools for Drought Mitigation in Mediterranean Regions, Kluwer, Dordrecht, 161-180. http://dx.doi.org/10.1007/978-94-010-0129-8_10
[10]	Rowshon, M.K., Kwok, C.Y. and Lee, T.S. (2003) GIS-Based Scheduling and Monitoring of Irrigation Delivery for Rice Irrigation System: Part I. Scheduling. Agricultural Water Management, 62, 105-116. http://dx.doi.org/10.1016/S0378-3774(03)00092-1
[11]	Ortega, J.F., De Juan, J.A. and Tarjuelo, J.M. (2005) Improving Water Management: The Irrigation Advisory Service of Castilla-La Mancha (Spain).Agricultural Water Management, 77, 37-58. http://dx.doi.org/10.1016/j.agwat.2004.09.028
[12]	Teixeira, J.L. and Pereira, L.S. (1992) ISAREG, An Irrigation Scheduling Model. ICID Bulletin, 41, 29-48.
[13]	Allen, R.G., Pereira, L.S., Dirk, R. and Martin, S. (1998) Crop Evapotranspiration: Guidelines for Computing Crop Water Requirements. FAO Irrigation and Drainage, Rome, Paper-No 56.