IDEAS home Printed from https://ideas.repec.org/a/eee/agisys/v167y2018icp113-124.html
   My bibliography  Save this article

Advancing a farmer decision support tool for agronomic decisions on rainfed and irrigated wheat cropping in Tasmania

Author

Listed:
  • Phelan, David C.
  • Harrison, Matthew T.
  • McLean, Greg
  • Cox, Howard
  • Pembleton, Kieth G.
  • Dean, Geoff J.
  • Parsons, David
  • do Amaral Richter, Maria E.
  • Pengilley, Georgie
  • Hinton, Sue J.
  • Mohammed, Caroline L.

Abstract

Well-designed agricultural decision support tools (DS) equip farmers with a rapid, easy way to compare multiple scenarios as well as the influence of different management strategies on crop production. One such tool, CropARM (http://www.armonline.com.au) assists users in establishing a framework of risk, with simulations incorporating climate scenarios and management actions, such as fertiliser rates, sowing time, row spacing, and irrigation regimes. When used in conjunction with soil and climate characteristics, biophysical model-based DS tools provide information that complements farmer experience and helps establish a framework for risk management given local climate characteristics. In this study, we used the APSIM model to provide the simulation data necessary to expand CropARM for new management conditions and environments in southern Australia. Prior to this work being undertaken, no CropARM data was available for Tasmania and no sites in CropARM allowed users to compare rainfed and irrigated wheat crops. This study collated data from 27 plots across ten sites in Tasmania, from the period 1981 to 2011, under both rainfed and irrigated conditions. APSIM was parameterised with these field observations and the subsequent scenario simulations were used to populate CropARM. Wheat cultivars used in the parameterisation of APSIM include Brennan, Isis, Mackeller, Revenue, Tennant (winter types) and Kellalac (spring type). The validation showed reliable model parameterisation, with an r2 value of close to 1, which is considered satisfactory. 670,680 simulations were undertaken and incorporated within the CropARM database for wheat cropping systems across Tasmania. With regularly updated climate streams, the free online framework provided by CropARM gives users the ability to assess downside risks associated with several different crop management alternatives, and by simultaneously comparing multiple scenarios, users can select management options that are likely to adhere most closely with their desired management objectives.

Suggested Citation

  • Phelan, David C. & Harrison, Matthew T. & McLean, Greg & Cox, Howard & Pembleton, Kieth G. & Dean, Geoff J. & Parsons, David & do Amaral Richter, Maria E. & Pengilley, Georgie & Hinton, Sue J. & Moham, 2018. "Advancing a farmer decision support tool for agronomic decisions on rainfed and irrigated wheat cropping in Tasmania," Agricultural Systems, Elsevier, vol. 167(C), pages 113-124.
  • Handle: RePEc:eee:agisys:v:167:y:2018:i:c:p:113-124
    DOI: 10.1016/j.agsy.2018.09.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308521X18306279
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agsy.2018.09.003?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. 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.
    2. Lisson, S.N. & Cotching, W.E., 2011. "Modelling the fate of water and nitrogen in the mixed vegetable farming systems of northern Tasmania, Australia," Agricultural Systems, Elsevier, vol. 104(8), pages 600-608, October.
    3. Rose, David C. & Sutherland, William J. & Parker, Caroline & Lobley, Matt & Winter, Michael & Morris, Carol & Twining, Susan & Ffoulkes, Charles & Amano, Tatsuya & Dicks, Lynn V., 2016. "Decision support tools for agriculture: Towards effective design and delivery," Agricultural Systems, Elsevier, vol. 149(C), pages 165-174.
    4. 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.
    5. Zhao, Gang & Bryan, Brett A. & Song, Xiaodong, 2014. "Sensitivity and uncertainty analysis of the APSIM-wheat model: Interactions between cultivar, environmental, and management parameters," Ecological Modelling, Elsevier, vol. 279(C), pages 1-11.
    6. Nelson, R. A. & Holzworth, D. P. & Hammer, G. L. & Hayman, P. T., 2002. "Infusing the use of seasonal climate forecasting into crop management practice in North East Australia using discussion support software," Agricultural Systems, Elsevier, vol. 74(3), pages 393-414, December.
    7. 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.
    8. Tedeschi, Luis Orlindo, 2006. "Assessment of the adequacy of mathematical models," Agricultural Systems, Elsevier, vol. 89(2-3), pages 225-247, September.
    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. Monjardino, Marta & Harrison, Matthew T. & DeVoil, Peter & Rodriguez, Daniel & Sadras, Victor O., 2022. "Agronomic and on-farm infrastructure adaptations to manage economic risk in Australian irrigated broadacre systems: A case study," Agricultural Water Management, Elsevier, vol. 269(C).
    2. Hao, Shirui & Ryu, Dongryeol & Western, Andrew & Perry, Eileen & Bogena, Heye & Franssen, Harrie Jan Hendricks, 2021. "Performance of a wheat yield prediction model and factors influencing the performance: A review and meta-analysis," Agricultural Systems, Elsevier, vol. 194(C).

    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. Dolinska, Aleksandra & Hassenforder, Emeline & Loboguerrero, Ana Maria & Sultan, Benjamin & Bossuet, Jérôme & Cottenceau, Jeanne & Bonatti, Michelle & Hellin, Jon & Mekki, Insaf & Drogoul, Alexis & Va, 2023. "Co-production opportunities seized and missed in decision-support frameworks for climate-change adaptation in agriculture – How do we practice the “best practice”?," Agricultural Systems, Elsevier, vol. 212(C).
    2. So Pyay Thar & Thiagarajah Ramilan & Robert J. Farquharson & Deli Chen, 2021. "Identifying Potential for Decision Support Tools through Farm Systems Typology Analysis Coupled with Participatory Research: A Case for Smallholder Farmers in Myanmar," Agriculture, MDPI, vol. 11(6), pages 1-20, June.
    3. Sophia Xiaoxia Duan & Santoso Wibowo & Josephine Chong, 2021. "A Multicriteria Analysis Approach for Evaluating the Performance of Agriculture Decision Support Systems for Sustainable Agribusiness," Mathematics, MDPI, vol. 9(8), pages 1-16, April.
    4. Kenny, Ursula & Regan, Áine & Hearne, Dave & O'Meara, Christine, 2021. "Empathising, defining and ideating with the farming community to develop a geotagged photo app for smart devices: A design thinking approach," Agricultural Systems, Elsevier, vol. 194(C).
    5. Kragt, Marit Ellen & Llewellyn, Rick S., 2013. "Using choice experiments to improve the design of weed decision support tools," Working Papers 147031, University of Western Australia, School of Agricultural and Resource Economics.
    6. Zina Mitraka & Sofia Siachalou & Georgia Doxani & Petros Patias, 2020. "Decision Support on Monitoring and Disaster Management in Agriculture with Copernicus Sentinel Applications," Sustainability, MDPI, vol. 12(3), pages 1-20, February.
    7. Le Gal, P.-Y. & Dugué, P. & Faure, G. & Novak, S., 2011. "How does research address the design of innovative agricultural production systems at the farm level? A review," Agricultural Systems, Elsevier, vol. 104(9), pages 714-728.
    8. Kyrgiakos, Leonidas Sotirios & Kleftodimos, Georgios & Kremantzis, Marios Dominikos & Vlontzos, George & Pardalos, Panos M., 2023. "Assessing efficiency differences in a common Agriculture Decision Support System - A comparative analysis between Greek and Italian durum wheat farms," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 14(01), January.
    9. Lundström, Christina & Lindblom, Jessica, 2018. "Considering farmers' situated knowledge of using agricultural decision support systems (AgriDSS) to Foster farming practices: The case of CropSAT," Agricultural Systems, Elsevier, vol. 159(C), pages 9-20.
    10. Dick, Jan & Turkelboom, Francis & Woods, Helen & Iniesta-Arandia, Irene & Primmer, Eeva & Saarela, Sanna-Riikka & Bezák, Peter & Mederly, Peter & Leone, Michael & Verheyden, Wim & Kelemen, Eszter & Ha, 2018. "Stakeholders’ perspectives on the operationalisation of the ecosystem service concept: Results from 27 case studies," Ecosystem Services, Elsevier, vol. 29(PC), pages 552-565.
    11. Oyakhilomen Oyinbo & Jordan Chamberlin & Miet Maertens, 2020. "Design of Digital Agricultural Extension Tools: Perspectives from Extension Agents in Nigeria," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 798-815, September.
    12. Vayssières, Jonathan & Vigne, Mathieu & Alary, Véronique & Lecomte, Philippe, 2011. "Integrated participatory modelling of actual farms to support policy making on sustainable intensification," Agricultural Systems, Elsevier, vol. 104(2), pages 146-161, February.
    13. Daniel H. Jarvis & Mark P. Wachowiak & Dan F. Walters & John M. Kovacs, 2017. "Adoption of Web-Based Spatial Tools by Agricultural Producers: Conversations with Seven Northeastern Ontario Farmers Using the GeoVisage Decision Support System," Agriculture, MDPI, vol. 7(8), pages 1-22, August.
    14. Carlos F. Brunner-Parra & Luis A. Croquevielle-Rendic & Carlos A. Monardes-Concha & Bryan A. Urra-Calfuñir & Elbio L. Avanzini & Tomás Correa-Vial, 2022. "Web-Based Integer Programming Decision Support System for Walnut Processing Planning: The MeliFen Case," Agriculture, MDPI, vol. 12(3), pages 1-22, March.
    15. 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.
    16. Prost, Lorène, 2021. "Revitalizing agricultural sciences with design sciences," Agricultural Systems, Elsevier, vol. 193(C).
    17. Ditzler, Lenora & Klerkx, Laurens & Chan-Dentoni, Jacqueline & Posthumus, Helena & Krupnik, Timothy J. & Ridaura, Santiago López & Andersson, Jens A. & Baudron, Frédéric & Groot, Jeroen C.J., 2018. "Affordances of agricultural systems analysis tools: A review and framework to enhance tool design and implementation," Agricultural Systems, Elsevier, vol. 164(C), pages 20-30.
    18. 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.
    19. 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.
    20. Aftab Wajid & Khalid Hussain & Ayesha Ilyas & Muhammad Habib-ur-Rahman & Qamar Shakil & Gerrit Hoogenboom, 2021. "Crop Models: Important Tools in Decision Support System to Manage Wheat Production under Vulnerable Environments," Agriculture, MDPI, vol. 11(11), pages 1-22, November.

    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:167:y:2018:i:c:p:113-124. 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.