Risks of post-emergence weed control strategies in sugar beet: development and application of a bio-economic model
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- Wossink, G. A. A. & de Buck, A. J. & van Niejenhuis, J. H. & Haverkamp, H. C. M., 1997. "Farmer perceptions of weed control techniques in sugarbeet," Agricultural Systems, Elsevier, vol. 55(3), pages 409-423, November.
- Taylor, Michael L. & Adams, Richard M. & Miller, Stanley F., 1992. "Farm-Level Response To Agricultural Effluent Control Strategies: The Case Of The Willamette Valley," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 17(01), July.
- Swinton, Scott M. & King, Robert P., 1994.
"A bioeconomic model for weed management in corn and soybean,"
Elsevier, vol. 44(3), pages 313-335.
- Swinton, Scott M., 1991. "A bioeconomic model for weed management in corn and soybean," Doctoral Dissertations 231838, University of Minnesota, Department of Applied Economics.
- Swinton, Scott M. & King, Robert P., 1992. "A Bioeconomic Model for Weed Management in Corn and Soybean," Staff Papers 201155, Michigan State University, Department of Agricultural, Food, and Resource Economics.
- de Buck, A. J. & Hendrix, E. M. T. & Schoorlemmer, H. B., 1999. "Analysing production and environmental risks in arable farming systems: A mathematical approach," European Journal of Operational Research, Elsevier, vol. 119(2), pages 416-426, December.
- C. Robert Taylor & Oscar R. Burt, 1984. "Near-Optimal Management Strategies for Controlling Wild Oats in Spring Wheat," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 66(1), pages 50-60.
- 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.
- Auld, Bruce A. & Tisdell, Clem A., 1987. "Economic thresholds and response to uncertainty in weed control," Agricultural Systems, Elsevier, vol. 25(3), pages 219-227.
- 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)
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