IDEAS home Printed from https://ideas.repec.org/a/eee/agisys/v48y1995i3p271-296.html
   My bibliography  Save this article

Optimising weed management using stochastic dynamic programming to take account of uncertain herbicide performance

Author

Listed:
  • Sells, J. E.

Abstract

No abstract is available for this item.

Suggested Citation

  • Sells, J. E., 1995. "Optimising weed management using stochastic dynamic programming to take account of uncertain herbicide performance," Agricultural Systems, Elsevier, vol. 48(3), pages 271-296.
    • Handle: RePEc:eee:agisys:v:48:y:1995:i:3:p:271-296
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0308-521X(94)00016-K
    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. Pandey, Sushil & Medd, R. W., 1990. "Integration of seed and plant kill tactics for control of wild oats: An economic evaluation," Agricultural Systems, Elsevier, vol. 34(1), pages 65-76.
    2. Fisher, Brian S. & Lee, R.R., 1981. "A Dynamic Programming Approach to the Economic Control of Weed and Disease Infestations in Wheat," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 49(03), pages 1-13, December.
    3. Sells, J. E., 1993. "Calculating transition probabilities for modelling weed management options using stochastic dynamic programming," Agricultural Systems, Elsevier, vol. 41(1), pages 41-52.
    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. Jones, Randall E. & Cacho, Oscar J. & Sinden, Jack A., 2003. "Modelling the Dynamics of Weed Management Technologies," 2003 Conference (47th), February 12-14, 2003, Fremantle, Australia 57902, Australian Agricultural and Resource Economics Society.
    2. Fred A. Johnson & Mitchell J. Eaton & James H. Williams & Gitte H. Jensen & Jesper Madsen, 2015. "Training Conservation Practitioners to be Better Decision Makers," Sustainability, MDPI, vol. 7(7), pages 1-20, June.
    3. Vorotnikova, Ekaterina & Borisova, Tatiana & VanSickle, John J., 2014. "Evaluation of the profitability of a new precision fungicide application system for strawberry production," Agricultural Systems, Elsevier, vol. 130(C), pages 77-88.
    4. de Buck, A. J. & Schoorlemmer, H. B. & Wossink, G. A. A. & Janssens, S. R. M., 1999. "Risks of post-emergence weed control strategies in sugar beet: development and application of a bio-economic model," Agricultural Systems, Elsevier, vol. 59(3), pages 283-299, March.
    5. Lodovichi, Mariela V. & Blanco, Aníbal M. & Chantre, Guillermo R. & Bandoni, J. Alberto & Sabbatini, Mario R. & Vigna, Mario & López, Ricardo & Gigón, Ramón, 2013. "Operational planning of herbicide-based weed management," Agricultural Systems, Elsevier, vol. 121(C), pages 117-129.

    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. Wallinga, Jacco, 1998. "Analysis of the rational long-term herbicide use: Evidence for herbicide efficacy and critical weed kill rate as key factors," Agricultural Systems, Elsevier, vol. 56(3), pages 323-340, March.
    2. Wu, JunJie, 2001. "Optimal weed control under static and dynamic decision rules," Agricultural Economics, Blackwell, vol. 25(1), pages 119-130, June.
    3. Jones, Randall E. & Cacho, Oscar J. & Sinden, Jack A., 2003. "Modelling the Dynamics of Weed Management Technologies," 2003 Conference (47th), February 12-14, 2003, Fremantle, Australia 57902, Australian Agricultural and Resource Economics Society.
    4. Finnoff, David & Tschirhart, John, 2005. "Identifying, preventing and controlling invasive plant species using their physiological traits," Ecological Economics, Elsevier, vol. 52(3), pages 397-416, February.
    5. Pannell, David J., 1994. "The Value Of Information In Herbicide Decision Making For Weed Control In Australian Wheat Crops," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 19(2), pages 1-16, December.
    6. Pannell, David J., 1995. "Optimal Herbicide Strategies Given Yield and Quality Impacts of Weeds," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 63(02), pages 1-7, August.
    7. Zull, Andrew F. & Cacho, Oscar J. & Lawes, Roger A., 2009. "Optimising woody-weed control," 2009 Conference (53rd), February 11-13, 2009, Cairns, Australia 47620, Australian Agricultural and Resource Economics Society.
    8. Jayasuriya, Rohan T. & Jones, Randall E., 2008. "A bioeconomic model for determining the optimal response to a new weed incursion in Australian cropping systems," 2008 Conference (52nd), February 5-8, 2008, Canberra, Australia 6015, Australian Agricultural and Resource Economics Society.
    9. Rohan Jayasuriya & Randall Jones & Remy Ven, 2011. "A bioeconomic model for determining the optimal response strategies for a new weed incursion," Journal of Bioeconomics, Springer, vol. 13(1), pages 45-72, April.
    10. de Buck, A. J. & Schoorlemmer, H. B. & Wossink, G. A. A. & Janssens, S. R. M., 1999. "Risks of post-emergence weed control strategies in sugar beet: development and application of a bio-economic model," Agricultural Systems, Elsevier, vol. 59(3), pages 283-299, March.
    11. S. Pandey & R. K. Lindner & R. W. Medd, 1993. "Towards An Economic Framework For Evaluating Potential Benefits From Research Into Weed Control," Journal of Agricultural Economics, Wiley Blackwell, vol. 44(2), pages 322-334, May.
    12. Jones, Randall E., 2005. "Sustainability and integrated weed management in Australian winter cropping systems: a bioeconomic analysis," 2005 Conference (49th), February 9-11, 2005, Coff's Harbour, Australia 137930, Australian Agricultural and Resource Economics Society.
    13. repec:ags:aare05:137931 is not listed on IDEAS
    14. Harper, David C. & Lambert, Dayton M. & Larson, James A. & Gwathmey, C. Owen, 2012. "Potassium carryover dynamics and optimal application policies in cotton production," Agricultural Systems, Elsevier, vol. 106(1), pages 84-93.

    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:48:y:1995:i:3:p:271-296. 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.