IDEAS home Printed from https://ideas.repec.org/p/ags/midasp/201161.html
   My bibliography  Save this paper

Weed Management Strategies, Bioeconomic Models and Information Value

Author

Listed:
  • Swinton, Scott M.
  • King, Robert P.
  • Lybecker, Donald W.

Abstract

No abstract is available for this item.

Suggested Citation

  • Swinton, Scott M. & King, Robert P. & Lybecker, Donald W., 1992. "Weed Management Strategies, Bioeconomic Models and Information Value," Staff Paper Series 201161, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    • Handle: RePEc:ags:midasp:201161
    DOI: 10.22004/ag.econ.201161
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/201161/files/agecon-msu-92-78.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.201161?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. Swinton, Scott M. & King, Robert P., 1994. "A bioeconomic model for weed management in corn and soybean," Agricultural Systems, Elsevier, vol. 44(3), pages 313-335.
    2. David J. Pannell, 1990. "An Economic Response Model Of Herbicide Application For Weed Control," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 34(3), pages 223-241, December.
    Full references (including those not matched with items on IDEAS)

    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. Böcker, Thomas & Britz, Wolfgang & Finger, Robert, 2017. "Modelling the Effects of a Glyphosate Ban on Weed Management in Maize Production," 57th Annual Conference, Weihenstephan, Germany, September 13-15, 2017 261982, German Association of Agricultural Economists (GEWISOLA).
    2. Oriade, Caleb Adewale, 1995. "A bioeconomic analysis of site-specific management and delayed planting strategies for weed control," Faculty and Alumni Dissertations 307890, University of Minnesota, Department of Applied Economics.
    3. Young, Douglas L. & Smith, Elwin G. & Kwon, Tae-Jin, 2000. "Aggregation Issues In Pest Control Economics: A Bioeconomic Approach," 2000 Annual Meeting, June 29-July 1, 2000, Vancouver, British Columbia 36448, Western Agricultural Economics Association.
    4. 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.
    5. repec:ags:aare05:137931 is not listed on IDEAS
    6. Scott M. Swinton & Robert P. King, 1994. "The Value of Pest Information in a Dynamic Setting: The Case of Weed Control," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(1), pages 36-46.
    7. Jones, Randall E. & Cacho, Oscar J., 2000. "A Dynamic Optimisation Model of Weed Control," 2000 Conference (44th), January 23-25, 2000, Sydney, Australia 123685, Australian Agricultural and Resource Economics Society.
    8. Schmidt, Carmel P & Pannell, David J, 1996. "Economic Issues in Management of Herbicide-Resistant Weeds," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 64(03), pages 1-8, December.
    9. Bennett, Anne L. & Pannell, David J., 1998. "Economic evaluation of a weed-activated sprayer for herbicide application to patchy weed populations," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 42(4), pages 1-20.
    10. Swinton, Scott M. & King, Robert P., 1994. "A bioeconomic model for weed management in corn and soybean," Agricultural Systems, Elsevier, vol. 44(3), pages 313-335.
    11. Madhu Khanna & Shady S. Atallah & Saurajyoti Kar & Bijay Sharma & Linghui Wu & Chengzheng Yu & Girish Chowdhary & Chinmay Soman & Kaiyu Guan, 2022. "Digital transformation for a sustainable agriculture in the United States: Opportunities and challenges," Agricultural Economics, International Association of Agricultural Economists, vol. 53(6), pages 924-937, November.
    12. Shibia, Mumina Guyo, 2010. "Evaluation of Economic Losses in Rearing Replacement Heifers in Pastoral and Peri-Urban Camel Herds of Isiolo District, Kenya," Research Theses 134493, Collaborative Masters Program in Agricultural and Applied Economics.
    13. Archer, David Walter, 1995. "Self-insurance and self-protection in weed control: implications for nonpoint source pollution," ISU General Staff Papers 1995010108000012033, Iowa State University, Department of Economics.
    14. Young, Douglas L. & Kwon, Tae-Jin & Smith, Elwin G. & Young, F.L., 2002. "Evaluating A Precision Agriculture Herbicide Decision Model For Winter Wheat," 2002 Annual meeting, July 28-31, Long Beach, CA 19819, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    15. Russell J. Gorddard & David J. Pannell & Greg Hertzler, 1995. "An Optimal Control Model For Integrated Weed Management Under Herbicide Resistance," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 39(1), pages 71-87, April.
    16. Yu, Chengzheng & Khanna, Madhu & Atallah, Shadi S. & Kar, Saurajyoti, 2022. "Economic Incentives for Robotic Weed Control in Row Crop Agriculture," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322149, Agricultural and Applied Economics Association.
    17. Gackstetter, David & von Bloh, Malte & Hannus, Veronika & Meyer, Sebastian T. & Weisser, Wolfgang & Luksch, Claudia & Asseng, Senthold, 2023. "Autonomous field management – An enabler of sustainable future in agriculture," Agricultural Systems, Elsevier, vol. 206(C).
    18. Mace, Karen & Morlon, Pierre & Munier-Jolain, Nicolas & Quere, Lionel, 2007. "Time scales as a factor in decision-making by French farmers on weed management in annual crops," Agricultural Systems, Elsevier, vol. 93(1-3), pages 115-142, March.
    19. Gorddard, Russell J. & Pannell, David J. & Hertzler, Greg, 1996. "Economic evaluation of strategies for management of herbicide resistance," Agricultural Systems, Elsevier, vol. 51(3), pages 281-298, July.
    20. Wu, JunJie, 2001. "Optimal weed control under static and dynamic decision rules," Agricultural Economics, Blackwell, vol. 25(1), pages 119-130, June.
    21. Nordblom, Thomas L. & Jones, Randall E. & Medd, Richard W., 2003. "Economics of factor adjusted herbicide doses: a simulation analysis of best efficacy targeting strategies (BETS)," Agricultural Systems, Elsevier, vol. 76(3), pages 863-882, June.

    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:midasp:201161. 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/damsuus.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.