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Authors
Ooi, Su Ki; Cooley, Nicola; Mareels, Iven; Dunn, Greg; Dassanayake, Kithsiri; Saleem, Khusro

Digital Object Identifier (DOI)
10.3182/20101206-3-JP-3009.00045

Page Numbers:
256-261

Index Terms
agriculture,environments,feedback control,automation,on-off control,wireless sensor networks

Abstract
Our planet is facing a serious fresh water crisis and improved management of water resources presents significant research challenges. About 70% of the world's fresh water is consumed by agriculture and water application efficiencies are typically low. Improving the efficiency of water use in agriculture would deliver substantial economic and environmental benefits. To help address the issue of low water application efficiency, wireless sensor network technologies can be combined with automation to support the efficient production of food in a increasingly water limited future. This paper reports on results of combining these approaches to irrigate an apple orchard, where existing irrigation scheduling was predominately based on time consuming manual acquisition of soil moisture data. The system developed allowed fully automated on-farm irrigation based on real-time feedback control which increased economic water use efficiency by 73% compared with manual irrigation. It is suggested that the application of real-time feedback automation would dramatically improve economic efficiency for irrigators with low water efficiency. Whereas, for those irrigators already achieving high water efficiency, adoption of the technology provides substantial labour and time savings.

References

[1] ABS (2005). Report 7123.2.55.001 - Agricultural state profile,
    Victroia 2004-05. Australian Bureau of Statistics, Canberra.
[2] ABS (2007). Water use on australian farms, 2005-06. Australian
    Bureau of Statistics, Canberra, cat. no: 4618.0.
[3] Bristow, D., Tharayil, M., and Alleyne, A. (2006). A survey of
    iterative learning control. IEEE Control Systems Magazine,
    Vol. 26(3), pp. 96-114. doi:10.1109/MCS.2006.1636313.
[4] Cantoni, M., Weyer, E., Li, Y., Ooi, S. K. Mareels, I., and Ryan,
    M. (2007). Control of large-scale irrigation networks. Special
    Issue of the Proceeding of the IEEE on the Technology
    of Networked Control Systems, 95(1), pp. 75-91.
[5] Coles Supplier Website, 2010 Available from:
    ⟨http://www.supplier.coles.com.au/⟩. [1 July 2010].
[6] de Halleux, J., Prieur, C., Coron, J.M., d'Andréa-Novel, B., and
    Bastin, G. (2003). Boundary feedback control in networks of
    open channels. Automatica, 39, pp. 1365-1376.
[7] Dulhoste, J.F., Georges, D., and Besancon, G. (2004). Nonlinear
    control of open-channel water flow based on collocation
    control model. Journal of Hydraulics Engineering, Vol.
    130(3), pp. 254-266.
[8] Global Water Situation, 2010. Available from:
    ⟨http://www.savewater.com.au/research-and-resources/
    why-save-water/global-situation⟩. [3 August 2010].
[9] Jones, H. (2004). Irrigation scheduling: advantages and pitfalls
    of plant-based methods. Journal of Experimental Botany,
    Vol. 55, pp. 2427-2436.
[10] Litrico, X. and Fromion, V. (2003). Advanced control politics
     and optimal performance for an irrigation canal. Proceedings
     of the 2003 European Control Conference, Cambridge, UK.
[11] Mareels, I., Ooi, S.K., Aughton, D., and Oakes, T. (2005a).
     Total channel control™ - the value of automation in irrigation
     distribution systems. Proceedings of the USCID Third
     International Conference on Irrigation and Drainage.
[12] Mareels, I., Ooi, S., Thoms, G., Skafidas, S., Oakes, T., and
     Langford, J. (2007). Water information networks: Infrastructure
     for efficient management of water. Proceedings of
     the USCID's 4th International Conference on Irrigation and
     Drainage, Sacramento, California, USA.
[13] Mareels, I., Weyer, E., Ooi, S.K., Cantoni, M., Li, Y., and Nair,
     G. (2005b). Systems engineering for irrigation systems:
     Successes and challenges. Annual Reviews in Control, Vol.
     29, pp. 191-204.
[14] Mareels, I., Weyer, E., and Ooi, S.K. (2003a). Irrigation networks:
     A systems engineering approach. Water & Irrigation,
     Vol. 23(4), pp. 18-34.
[15] Muñoz, R. and Dukes, M. (2005). Automatic irrigation based
     on soil moisture for vagetable crops. ABE356, a series from
     the Department of Agriculture and Biological Engineering,
     Florida Coorperative Extension Service, Institute of Food
     and Agriculture Sciences, University of Florida.
[16] Netafim Ltd., Tel Aviv, Israel, 2010. Available from:
     ⟨http://www.netafim.com⟩. [3 August 2010].
[17] Ogata, K. (1997). Modern Control Engineering. Prentice Hall,
     3rd edition.
[18] Ooi, S.K. and Weyer, E. (2008). Control design for an irrigation
     channel from physical data. Control Engineering Practice,
     Vol. 16, pp. 1132-1150.
[19] Schuurmans, J., Hof, A., Dijkstra, S., Bosgra, O., and Brouwer,
     R. (1999). Simple water level controller for irrigation and
     drainage canals. Journal of Irrigation and Drainage Engineering,
     Vol. 125(no. 4), pp. 189-195.
[20] Sentek Sensor Technologies, Australia, 2010. Available from:
     ⟨http://www.sentek.com.au⟩. [3 August 2010].
[21] Thoms, G., Mareels, I., Qiu, W., Pham, M., Overmars, A.,
     Saleem, K., Halpern, M., Beresford-Smith, B., Skafidas,
     S., Dassanayake, K., Ooi, S., Dunn, G., Cooley, N., and
     La Scala, B. (2007). NICTOR™: Micro technology in real-time
      closed-loop water management. Proceedings of the 12th
     international COMS, Melbourne, Australia.
[22] Water Report (2003). The United Nations World Water Development
     Report. UNESCO publishing.
[23] Water Report 2 (2006). The 2nd United Nations World Water
     Development Report: Water; a shared responsibility. UNESCO
     publishing.
[24] Weyer, E. (2008). Control of irrigation channels. IEEE
     Transactions on Control Systems Technology, Vol. 16, pp.
     664-675.