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A Bioeconomic Model for Weed Management in Corn and Soybean

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Cited by:

  1. Scott M. Swinton & Braeden Deynze, 2017. "Hoes to Herbicides: Economics of Evolving Weed Management in the United States," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 29(3), pages 560-574, July.
  2. Wu, JunJie, 2001. "Optimal weed control under static and dynamic decision rules," Agricultural Economics, Blackwell, vol. 25(1), pages 119-130, June.
  3. 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.
  4. Swinton, Scott M. & Day, Esther, 2000. "Economics In The Design, Assessment, Adoption, And Policy Analysis Of I.P.M," Staff Paper Series 11789, Michigan State University, Department of Agricultural, Food, and Resource Economics.
  5. 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.
  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. Swinton, Scott M. & King, Robert P. & Lybecker, Donald W., 1992. "The Effect of Triazine Restriction Policies on Recommended Weed Management in Corn," Staff Paper Series 201160, Michigan State University, Department of Agricultural, Food, and Resource Economics.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. Oriade, Caleb A. & Dillon, Carl R., 1997. "Developments in biophysical and bioeconomic simulation of agricultural systems: a review," Agricultural Economics, Blackwell, vol. 17(1), pages 45-58, October.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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).
  18. repec:ags:aare05:137931 is not listed on IDEAS
  19. 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.
  20. Wiles, L. J. & King, R. P. & Schweizer, E. E. & Lybecker, D. W. & Swinton, S. M., 1996. "GWM: General weed management model," Agricultural Systems, Elsevier, vol. 50(4), pages 355-376.
  21. Braeden Van Deynze & Scott M. Swinton & David A. Hennessy, 2022. "Are glyphosate‐resistant weeds a threat to conservation agriculture? Evidence from tillage practices in soybeans," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(2), pages 645-672, March.
  22. 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.
  23. Archer, David W. & Shogren, Jason F., 2001. "Risk-indexed herbicide taxes to reduce ground and surface water pollution: an integrated ecological economics evaluation," Ecological Economics, Elsevier, vol. 38(2), pages 227-250, August.
  24. Swinton, Scott M. & Black, J. Roy, 2000. "Modeling Of Agricultural Systems," Staff Paper Series 11581, Michigan State University, Department of Agricultural, Food, and Resource Economics.
  25. 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).
  26. 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.
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