IDEAS home Printed from https://ideas.repec.org/a/ags/afbmau/121470.html
   My bibliography  Save this article

A whole-farm investment analysis of some precision agriculture technologies

Author

Listed:
  • Knight, Brad
  • Malcolm, Bill

Abstract

This study used information about a farm in the Victorian Mallee during the period 1998 – 2005 to analyse the profitability of investing in Precision Agriculture and Site-Specific Crop Management technology and farming systems. Two equipment guidance systems were evaluated. Both guidance systems earned more than 8 percent real return p.a. on the extra capital invested. A Real-Time Kinetic (RTK) guidance system with a precision of 2 cm and a capital cost of $50,000 was less profitable than a Sub-Metre guidance system with 20 cm accuracy and costing $20,000. Producers investing in RTK guidance technology would be well-paid to also adopt supporting management practices that enhance crop gross margins or provide other benefits. The capital cost of GPS technology has to be spread over sufficient hectares. Investment in Zone Management technologies to fine-tune applications of nitrogen within paddocks did not meet the required return on capital of 8 percent p.a. With the spatial variability on this farm, 1670 hectares of crop were required for the investment to break-even with alternative uses of the capital. Alternatively, with 900 hectares cropped on this case study farm, spatial variation of at least 2.5 t/ha in yield across paddocks was required to justify the investment in the Zone Management technology.

Suggested Citation

  • Knight, Brad & Malcolm, Bill, 2009. "A whole-farm investment analysis of some precision agriculture technologies," AFBM Journal, Australasian Farm Business Management Network, vol. 6(1), pages 1-14, October.
  • Handle: RePEc:ags:afbmau:121470
    DOI: 10.22004/ag.econ.121470
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/121470/files/Knight%20and%20Malcolm%2004.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.121470?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
    ---><---

    References listed on IDEAS

    as
    1. David J. Pannell, 2006. "Flat Earth Economics: The Far-reaching Consequences of Flat Payoff Functions in Economic Decision Making," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 28(4), pages 553-566.
    2. Michael D. Weiss, 1996. "Precision Farming and Spatial Economic Analysis: Research Challenges and Opportunities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(5), pages 1275-1280.
    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. Georgios I. Papakonstantinou & Nikolaos Voulgarakis & Georgia Terzidou & Lampros Fotos & Elisavet Giamouri & Vasileios G. Papatsiros, 2024. "Precision Livestock Farming Technology: Applications and Challenges of Animal Welfare and Climate Change," Agriculture, MDPI, vol. 14(4), pages 1-17, April.

    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. Asci, Serhat & Borisova, Tatiana & VanSickle, John J., 2015. "Role of economics in developing fertilizer best management practices," Agricultural Water Management, Elsevier, vol. 152(C), pages 251-261.
    2. Pede, Valerien O. & McKinley, Justin & Singbo, Alphonse & Kajisa, Kei, 2015. "Spatial Dependency of Technical Efficiency in Rice Farming: The Case of Bohol, Philippines," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205456, Agricultural and Applied Economics Association.
    3. Kerry J. Stott & Brendan Christy & Malcolm McCaskill & Kurt K. Benke & Penny Riffkin & Garry J. O'Leary & Robert Norton, 2020. "Integrating crop modelling and production economics to investigate multiple nutrient deficiencies and yield gaps," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(3), pages 655-676, July.
    4. Hutchings, Timothy R., 2009. "A financial analysis of the effect of the mix of crop and sheep enterprises on the risk profile of dryland farms in south-eastern Australia – Part 1," AFBM Journal, Australasian Farm Business Management Network, vol. 6(1), pages 1-16, October.
    5. Doole, Graeme J. & Romera, Alvaro J., 2014. "Implications of a nitrogen leaching efficiency metric for pasture-based dairy farms," Agricultural Water Management, Elsevier, vol. 142(C), pages 10-18.
    6. Leen, Frederik & Van den Broeke, Alice & Aluwé, Marijke & Ludwig, Lauwers & Sam, Millet & Jef, Van Meensel, 2017. "Simulation Modelling To Provide Insights Into The Optimization Of Delivery Weights Of Finisher Pigs," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 261272, European Association of Agricultural Economists.
    7. David J. Pannell & Getu Hailu & Alfons Weersink & Amanda Burt, 2008. "More reasons why farmers have so little interest in futures markets," Agricultural Economics, International Association of Agricultural Economists, vol. 39(1), pages 41-50, July.
    8. Sanaz Shoghi Kalkhoran & David Pannell & Maksym Polyakov & Ben White & Morteza Chalak Haghighi & Amin William Mugera & Imma Farre, 2021. "A dynamic model of optimal lime application for wheat production in Australia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 65(2), pages 472-490, April.
    9. Leen, Frederik & Van den Broeke, Alice & Aluwé, Marijke & Lauwers, Ludwig & Millet, Sam & Van Meensel, Jef, 2018. "Stakeholder-driven modelling the impact of animal profile and market conditions on optimal delivery weight in growing-finishing pig production," Agricultural Systems, Elsevier, vol. 162(C), pages 34-45.
    10. Anderson Jock R. & Birner Regina & Nagarajan Latha & Naseem Anwar & Pray Carl E., 2021. "Private Agricultural R&D: Do the Poor Benefit?," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 19(1), pages 3-14, May.
    11. Graeme J. Doole, 2010. "Evaluating Input Standards for Non‐Point Pollution Control under Firm Heterogeneity," Journal of Agricultural Economics, Wiley Blackwell, vol. 61(3), pages 680-696, September.
    12. Thompson, Nathanael M. & DeVuyst, Eric A. & Brorsen, B. Wade & Lusk, Jayson L., 2016. "Using Genetic Testing to Improve Fed Cattle Marketing Decisions," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 41(2), May.
    13. Meyer-Aurich, Andreas & Karatay, Yusuf Nadi, 2019. "Effects of uncertainty and farmers' risk aversion on optimal N fertilizer supply in wheat production in Germany," Agricultural Systems, Elsevier, vol. 173(C), pages 130-139.
    14. David Maddison, 2009. "A Spatio‐temporal Model of Farmland Values," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(1), pages 171-189, February.
    15. Kharel, S. & d'Abbadie, C. & Abadi, A. & Kingwell, R., 2022. "Reducing farming system emissions via spatial application of payoff functions," Agricultural Systems, Elsevier, vol. 203(C).
    16. Predrag Rajsic & Alfons Weersink & Markus Gandorfer, 2009. "Risk and Nitrogen Application Levels," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 57(2), pages 223-239, June.
    17. Farquharson, Robert J., 2006. "Production Response and Input Demand in Decision Making: Nitrogen Fertilizer and Wheat Growers," Australasian Agribusiness Review, University of Melbourne, Department of Agriculture and Food Systems, vol. 14.
    18. Skevas, Ioannis, 2020. "Inference in the spatial autoregressive efficiency model with an application to Dutch dairy farms," European Journal of Operational Research, Elsevier, vol. 283(1), pages 356-364.
    19. Sergei Schaub & Nadja El Benni, 2024. "How do price (risk) changes influence farmers’ preferences to reduce fertilizer application?," Agricultural Economics, International Association of Agricultural Economists, vol. 55(2), pages 365-383, March.
    20. Gandorfer, Markus & Rajsic, Predrag, 2008. "Modeling Economic Optimum Nitrogen Rates for Winter Wheat When Inputs Affect Yield and Output-Price," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 9(2).

    More about this item

    Keywords

    Farm Management;

    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:ags:afbmau:121470. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/afbmnea.html .

    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.