Skip to main content
Log in

Development of an Irrigation Scheduling Software for Sugarcane

  • Research article
  • Published:
Sugar Tech Aims and scope Submit manuscript

Abstract

Irrigation is vital for sustainable sugarcane production in rainfall-deficient areas. Efficient use of irrigation water remains a major concern because of increasing competition for water and a pressing need to improve productivity. A decision-making tool for the management of different irrigation systems at farm level has been developed to optimize irrigation water use, based on soil water balance and crop water satisfaction models. The software is GIS-based, integrating the biophysical factors related to irrigation at farm level, and has been designed to enable unbiased decision-making in irrigation management. Based on crop susceptibility to water stress, a priority ranking was produced for irrigation application at times of water scarcity. The software calculates soil water deficit from meteorological and soil data and subsequently works out irrigation water requirements. The output is in the form of recommendations for irrigation, giving priorities and water doses. The user can easily visualize the soil water deficit in time or space. The software has been successfully tested on four sugar estates. Feedback has been positive, and training has been provided to several potential users.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  • Bezuidenhout, C.N., and S. Bodhanya. 2010. Identifying opportunities in South African supply chain system. Mt Edgecombe: Research report for SASRI.

    Google Scholar 

  • Lyne, P.W.L. 2012. Decision support systems for sugarcane production managers. Proceedings of South African Sugar Technologists’ Association 85: 206–220.

    Google Scholar 

  • Martin, D.L., E.C. Stegman, and E. Fereres. 1992. Irrigation scheduling principles. In Management of farm irrigation systems, ed. G.J. Hoffman, T.A. Howell, and K.H. Solomon, 155–203. St. Joseph, Michigan: ASAE Monograph no. 9, ASAE.

    Google Scholar 

  • Ratna, R.D., M. Teeluck, and P.D. Ah Koon. 1999. Improving use of limited water by sugarcane. In Proceedings of 3rd annual meeting of agricultural scientists, University of Mauritius, Réduit, Mauritius, 1998, ed. J.A. Lalouette, D.Y. Bachraz, and N. Sukurdeep, 61–70. Réduit: Food and Agricultural Research Council.

    Google Scholar 

Download references

Funding

This study was funded by the European Union through the ACP Sugar Research Programme (Contract Number RPR/009/07).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to L. R. Ng Cheong.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ng Cheong, L.R., Teeluck, M. Development of an Irrigation Scheduling Software for Sugarcane. Sugar Tech 20, 36–39 (2018). https://doi.org/10.1007/s12355-017-0517-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12355-017-0517-7

Keywords

Navigation