IDEAS home Printed from https://ideas.repec.org/a/eee/agisys/v98y2008i1p40-49.html
   My bibliography  Save this article

HydroLOGIC: An irrigation management system for Australian cotton

Author

Listed:
  • Richards, Q.D.
  • Bange, M.P.
  • Johnston, S.B.

Abstract

The worldwide need to improve water use efficiency within irrigated agriculture has been recognised in response to environmental concerns and conflicts in resource use. Within the Australian cotton industry, the imperative to reduce water use and optimise irrigation management through the understanding of risk, using information generated by computerised decision aids was identified and subsequently developed into the HydroLOGIC irrigation management software. This paper summarises the attributes of the HydroLOGIC irrigation management software, with particular emphasis on functionality and its application to irrigation decisions within the Australian cotton industry. The software development process is documented to provide direction for future software application initiatives, with particular emphasis on a process of user feedback, evaluation and support requirements providing direction to software development. On-farm experiments throughout the development period allowed the validation of internal software logic, irrigator decision processes, and the OZCOT cotton growth model. The software demonstrated the ability to improve yield and water use efficiency by optimising strategic and tactical irrigation decisions in the Australian furrow irrigation cotton production system. In 7 of the 11 on-farm experiments conducted, the use of HydroLOGIC helped improve overall field water use efficiency by optimising the timing of irrigation events or by indicating further irrigations would not provide yield or maturity benefits. The paper also presents useful insights into the development of software targeted for irrigation utilising in-field measurements of soil water, crop growth and a crop growth simulation model.

Suggested Citation

  • Richards, Q.D. & Bange, M.P. & Johnston, S.B., 2008. "HydroLOGIC: An irrigation management system for Australian cotton," Agricultural Systems, Elsevier, vol. 98(1), pages 40-49, July.
    • Handle: RePEc:eee:agisys:v:98:y:2008:i:1:p:40-49
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308-521X(08)00038-3
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Larson, James A. & Mapp, Harry P. & Verhalen, Laval M. & Banks, J. C., 1996. "Adapting a cotton model for decision analyses: a yield-response evaluation," Agricultural Systems, Elsevier, vol. 50(2), pages 145-167.
    2. Smith, R.J. & Raine, S.R. & Minkevich, J., 2005. "Irrigation application efficiency and deep drainage potential under surface irrigated cotton," Agricultural Water Management, Elsevier, vol. 71(2), pages 117-130, February.
    3. McKinion, J. M. & Baker, D. N. & Whisler, F. D. & Lambert, J. R., 1989. "Application of the GOSSYM/COMAX system to cotton crop management," Agricultural Systems, Elsevier, vol. 31(1), pages 55-65.
    4. McCown, R. L. & Hammer, G. L. & Hargreaves, J. N. G. & Holzworth, D. P. & Freebairn, D. M., 1996. "APSIM: a novel software system for model development, model testing and simulation in agricultural systems research," Agricultural Systems, Elsevier, vol. 50(3), pages 255-271.
    5. Carberry, P. S. & Hochman, Z. & McCown, R. L. & Dalgliesh, N. P. & Foale, M. A. & Poulton, P. L. & Hargreaves, J. N. G. & Hargreaves, D. M. G. & Cawthray, S. & Hillcoat, N. & Robertson, M. J., 2002. "The FARMSCAPE approach to decision support: farmers', advisers', researchers' monitoring, simulation, communication and performance evaluation," Agricultural Systems, Elsevier, vol. 74(1), pages 141-177, October.
    6. Hearn, A. B. & Bange, M. P., 2002. "SIRATAC and CottonLOGIC: persevering with DSSs in the Australian cotton industry," Agricultural Systems, Elsevier, vol. 74(1), pages 27-56, October.
    7. Milroy, S. P. & Bange, M. P. & Hearn, A. B., 2004. "Row configuration in rainfed cotton systems: modification of the OZCOT simulation model," Agricultural Systems, Elsevier, vol. 82(1), pages 1-16, October.
    8. Grismer, M. E., 2002. "Regional cotton lint yield, ETc and water value in Arizona and California," Agricultural Water Management, Elsevier, vol. 54(3), pages 227-242, April.
    9. Tennakoon, S. B. & Milroy, S. P., 2003. "Crop water use and water use efficiency on irrigated cotton farms in Australia," Agricultural Water Management, Elsevier, vol. 61(3), pages 179-194, July.
    10. Hearn, A. B., 1994. "OZCOT: A simulation model for cotton crop management," Agricultural Systems, Elsevier, vol. 44(3), pages 257-299.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mabhaudhi, Tafadzwanashe & Dirwai, Tinashe Lindel & Taguta, Cuthbert & Sikka, Alok & Lautze, Jonathan, 2023. "Mapping Decision Support Tools (DSTs) on agricultural water productivity: A global systematic scoping review," Agricultural Water Management, Elsevier, vol. 290(C).
    2. Itzel Inti Maria Donati & Davide Viaggi & Zorica Srdjevic & Bojan Srdjevic & Antonella Di Fonzo & Teresa Del Giudice & Orlando Cimino & Andrea Martelli & Anna Dalla Marta & Roberto Henke & Filiberto A, 2023. "An Analysis of Preference Weights and Setting Priorities by Irrigation Advisory Services Users Based on the Analytic Hierarchy Process," Agriculture, MDPI, vol. 13(8), pages 1-15, August.
    3. Darouich, Hanaa & Gonçalves, José M. & Muga, André & Pereira, Luis S., 2012. "Water saving vs. farm economics in cotton surface irrigation: An application of multicriteria analysis," Agricultural Water Management, Elsevier, vol. 115(C), pages 223-231.
    4. Luo, Qunying & Bange, Michael & Braunack, Michael & Johnston, David, 2016. "Effectiveness of agronomic practices in dealing with climate change impacts in the Australian cotton industry — A simulation study," Agricultural Systems, Elsevier, vol. 147(C), pages 1-9.
    5. Ara, Iffat & Turner, Lydia & Harrison, Matthew Tom & Monjardino, Marta & deVoil, Peter & Rodriguez, Daniel, 2021. "Application, adoption and opportunities for improving decision support systems in irrigated agriculture: A review," Agricultural Water Management, Elsevier, vol. 257(C).
    6. Luo, Qunying & Behrendt, Karl & Bange, Michael, 2017. "Economics and risk of adaptation options in the Australian cotton industry," Agricultural Systems, Elsevier, vol. 150(C), pages 46-53.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zwart, Sander J. & Bastiaanssen, Wim G. M., 2004. "Review of measured crop water productivity values for irrigated wheat, rice, cotton and maize," Agricultural Water Management, Elsevier, vol. 69(2), pages 115-133, September.
    2. Hochman, Zvi & Horan, Heidi & Reddy, D. Raji & Sreenivas, Gade & Tallapragada, Chiranjeevi & Adusumilli, Ravindra & Gaydon, Don & Singh, Kamalesh K. & Roth, Christian H., 2017. "Smallholder farmers managing climate risk in India: 1. Adapting to a variable climate," Agricultural Systems, Elsevier, vol. 150(C), pages 54-66.
    3. Luo, Qunying & Bange, Michael & Braunack, Michael & Johnston, David, 2016. "Effectiveness of agronomic practices in dealing with climate change impacts in the Australian cotton industry — A simulation study," Agricultural Systems, Elsevier, vol. 147(C), pages 1-9.
    4. Dore, T. & Sebillotte, M. & Meynard, J. M., 1997. "A diagnostic method for assessing regional variations in crop yield," Agricultural Systems, Elsevier, vol. 54(2), pages 169-188, June.
    5. Milroy, S. P. & Bange, M. P. & Hearn, A. B., 2004. "Row configuration in rainfed cotton systems: modification of the OZCOT simulation model," Agricultural Systems, Elsevier, vol. 82(1), pages 1-16, October.
    6. Emma Jakku & Peter Thorburn, 2009. "A Conceptual Framework for Guiding the Participatory Development of Agricultural Decision Support Systems," Socio-Economics and the Environment in Discussion (SEED) Working Paper Series 2009-12, CSIRO Sustainable Ecosystems.
    7. Zhao, Wenqing & Meng, Yali & Li, Wenfeng & Chen, Binglin & Xu, Naiyin & Wang, Youhua & Zhou, Zhiguo & Oosterhuis, Derrick M., 2012. "A model for cotton (Gossypium hirsutum L.) fiber length and strength formation considering temperature-radiation and N nutrient effects," Ecological Modelling, Elsevier, vol. 243(C), pages 112-122.
    8. Kabir, Md. Jahangir & Gaydon, Donald S. & Cramb, Rob & Roth, Christian H., 2018. "Bio-economic evaluation of cropping systems for saline coastal Bangladesh: I. Biophysical simulation in historical and future environments," Agricultural Systems, Elsevier, vol. 162(C), pages 107-122.
    9. McCown, R. L. & Hochman, Z. & Carberry, P. S., 2002. "Probing the enigma of the decision support system for farmers: Learning from experience and from theory," Agricultural Systems, Elsevier, vol. 74(1), pages 1-10, October.
    10. Hochman, Z. & Carberry, P.S., 2011. "Emerging consensus on desirable characteristics of tools to support farmers' management of climate risk in Australia," Agricultural Systems, Elsevier, vol. 104(6), pages 441-450, July.
    11. Jakku, E. & Thorburn, P.J., 2010. "A conceptual framework for guiding the participatory development of agricultural decision support systems," Agricultural Systems, Elsevier, vol. 103(9), pages 675-682, November.
    12. Chatelin, M. H. & Aubry, C. & Poussin, J. C. & Meynard, J. M. & Masse, J. & Verjux, N. & Gate, Ph. & Le Bris, X., 2005. "DeciBle, a software package for wheat crop management simulation," Agricultural Systems, Elsevier, vol. 83(1), pages 77-99, January.
    13. Komlan Koudahe & Aleksey Y. Sheshukov & Jonathan Aguilar & Koffi Djaman, 2021. "Irrigation-Water Management and Productivity of Cotton: A Review," Sustainability, MDPI, vol. 13(18), pages 1-21, September.
    14. Yunfeng Li & Quanqing Feng & Dongwei Li & Mingfa Li & Huifeng Ning & Qisheng Han & Abdoul Kader Mounkaila Hamani & Yang Gao & Jingsheng Sun, 2022. "Water-Salt Thresholds of Cotton ( Gossypium hirsutum L.) under Film Drip Irrigation in Arid Saline-Alkali Area," Agriculture, MDPI, vol. 12(11), pages 1-21, October.
    15. Qureshi, Muhammad Ejaz & Arunakumaren, J. & Bajracharya, K. & Wegener, Malcolm K. & Qureshi, S.E. & Bristow, Keith L., 2002. "Economic and environmental impacts of groundwater management scenarios in Burdekin Delta," 2002 Conference (46th), February 13-15, 2002, Canberra, Australia 125148, Australian Agricultural and Resource Economics Society.
    16. Negm, L.M. & Youssef, M.A. & Skaggs, R.W. & Chescheir, G.M. & Jones, J., 2014. "DRAINMOD–DSSAT model for simulating hydrology, soil carbon and nitrogen dynamics, and crop growth for drained crop land," Agricultural Water Management, Elsevier, vol. 137(C), pages 30-45.
    17. Amouzou, Kokou Adambounou & Naab, Jesse B. & Lamers, John P.A. & Borgemeister, Christian & Becker, Mathias & Vlek, Paul L.G., 2018. "CROPGRO-Cotton model for determining climate change impacts on yield, water- and N- use efficiencies of cotton in the Dry Savanna of West Africa," Agricultural Systems, Elsevier, vol. 165(C), pages 85-96.
    18. Jing Wang & Feng Fang & Qiang Zhang & Jinsong Wang & Yubi Yao & Wei Wang, 2016. "Risk evaluation of agricultural disaster impacts on food production in southern China by probability density method," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 83(3), pages 1605-1634, September.
    19. Jagadish Padhiary & Kanhu Charan Patra & Sonam Sandeep Dash, 2022. "A Novel Approach to Identify the Characteristics of Drought under Future Climate Change Scenario," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(13), pages 5163-5189, October.
    20. Feike, Til & Henseler, Martin, 2017. "Multiple Policy Instruments for Sustainable Water Management in Crop Production - A Modeling Study for the Chinese Aksu-Tarim Region," Ecological Economics, Elsevier, vol. 135(C), pages 42-54.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agisys:v:98:y:2008:i:1:p:40-49. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agsy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.