Economic evaluation of a weed-activated sprayer for herbicide application to patchy weed populations

Australian Journal of Agricultural and Resource Economics

Volumn 42, Issue 4, 1998, Pages 389-408

  Bennett, Anne L ^a   Pannell, David J ^a  

^a UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0000654551     PISSN: 1364985X     EISSN: None     Source Type: Journal    
DOI: 10.1111/1467-8489.00059     Document Type: Review

References (41)

1. Ahrens, W.H. 1994,. 'Relative costs of a weed-activated versus conventional sprayer in northern Great Plains fallow', Weed Technology, vol. 8, no. 1, pp. 50-7.
2. Anderson, J.R., Dillon, J.L. and Hardaker, J.B. 1977, Agricultural Decision Analysis, Iowa State University Press, Ames.
3. Audsley, W.P. 1993, Operational research of patch spraying', Crop Protection, vol. 12, no. 2, pp. 111-19.
4. Auld, B.A. and Tisdell, C.A. 1988, 'Influence of spatial distribution of weeds on crop yield loss', Plant Protection Quarterly, vol. 3, no. 2, p. 81.
5. Brain, P. and Cousens, R. 1990, 'The effect of weed distribution on prediction of yield loss', Journal of Applied Ecology, vol. 27, no. 2, pp. 735-42.
6. Combellack, J.H. 1989, 'The importance of weeds and the advantages and disadvantages of herbicide use', Plant Protection Quarterly, vol. 4, no. 1, pp. 14-31.
7. Cooke, J.W. and Smith, C.W. 1985, 'Use of a rope-wick applicator to apply glyphosate for controlling Chinese Scrub (Cassinia arcuata R. Br.)', Plant Protection Quarterly, vol. 1, no. 2, pp. 74-5.
8. Consens, R. 1985, 'An empirical model relating crop yield to weed and crop density and a statistical comparison with other models', Journal of Agricultural Science, Cambridge, vol. 105, no. 3, pp. 513-21.
9. Cousens, R. 1987, 'Theory and reality of weed control thresholds', Plant Protection Quarterly, vol. 2, no. 1, pp. 13-20.
10. Dorr, G.J. and Pannell, D.J. 1992, 'Economics of improved spatial distribution of herbicide for weed control in crops', Crop Protection, vol. 11, no. 4, pp. 385-91.
11. Felton, W.L., Doss, A.F., Nash, P.G. and McCloy, K.R. 1991, 'A microprocessor controlled technology to selectively spot spray weeds', in Proceedings of the 1991 Symposium of Automated Agriculture for the 21st Century, American Society of Agricultural Engineers, St Joseph, Michigan, pp. 427-32.
12. Felton, W.L., McCloy, K.R., Doss, A.F. and Burger, A.E. 1987, 'Evaluation of a weed detector', in Lemerle, D. and Leys, A.R. (eds), Proceedings of the Eighth Australian Weeds Conference, Sydney, 21-25 September 1987, Weed Society of New South Wales, Sydney, pp. 80-4.
13. Gorddard, R.J., Pannell, D.J. and Hertzler, G.L. 1995, 'An optimal control model of integrated weed management under herbicide resistance', Australian Journal of Agricultural Economics, vol. 39, no. 1, pp. 71-87.
14. Hamby, D.M. 1995, 'A comparison of sensitivity analysis techniques', Health Physics, vol. 68, no. 2, pp. 195-204.
15. Hoar, S.K., Blair, A., Holmes, F.F., Boysen, C.D., Robel, R.J., Hoover, R. and Fraumesi, J.F. Jr. 1986, 'Agricultural herbicide use and risk of lymphonoma and soft tissue sarcoma', Journal of the American Medical Association, vol. 256, no. 9, pp. 1141-7.
16. Hoffman, F.O. and Gardner, R.H. 1983, 'Evaluation of uncertainties in environmental radiological assessment models', in Till, J.E. and Meyer, H.R. (eds), Radiological Assessments: A Textbook on Environmental Dose Assessment, Report no. NUREG/CR-3332, US Nuclear Regulatory Commission, Washington, DC, pp. 11.1-11.55.
17. Hughes, G. 1989, 'Spatial heterogeneity in yield-weed relationships for crop loss assessment', Crop Research, vol. 29, no. 2, pp. 87-94.
18. Keeley, P.E., Carter, C.H., Thullen, R.J. and Miller, J.H. 1984, 'Comparison of ropewick applicators for control of Johnsongrass (Sorghum halepense) in cotton (Gossypium hirsutum) with glyphosate', Weed Technology, vol. 32, no. 4, pp. 431-5.
19. Kovach, J., Petzoldt, C., Degni, J. and Tette, J. 1992, A Method to Measure the Environmental Impacts of Pesticides, Bulletin N139, New York Food and Life Sciences Bulletin, New York State Agricultural Experimental Station, Geneva.
20. Martin, R.J. 1992, 'Evaluation of Remote Sensing Techniques for the Detection of Skeleton Weed', unpublished report to the Skeleton Weed Advisory Committee, 20 February 1992, Agriculture Protection Board of Western Australia, Perth.
21. Mayeux, H.S. Jr., and Crane, R.A. 1984, 'Application of herbicides on rangelands with a carpeted roller: control of Goldenweeds (Isocoma Spp.) and False Broomweed (Ericameria ausrotexana)', Weed Science, vol. 32, no. 6, pp. 845-9.
22. Messersmith, C.G. and Lym, R.G. 1985, 'Roller application of picloram for leafy spurge control in pastures', Weed Science, vol. 33, no. 2, pp. 258-62.
23. Moomaw, R.S. and Martin, A.R. 1990, 'Ropewick application of picloram for leafy spurge (Euphorbia esula) control', Weed Technology, vol. 4, no. 2, pp. 235-8.
24. Nielsen, E.G. and Lee, L.K. 1987, The Magnitude and Costs of Groundwater Contamination from Agricultural Chemicals: A National Perspective, Natural Economics Division, USDA-ERS Staff Report, AGES 870318, Washington, DC.
25. Oriade, C.A., King, R.P., Forcella, F. and Gunsolus, J.L. 1996, 'A bioeconomic analysis of site-specific management for weed control', Review of Agricultural Economics, vol. 18, no. 4, pp. 523-35.
26. Pannell, D.J. 1988, 'Theory and reality of weed control thresholds: a comment', Plant Protection Quarterly, vol. 3, no. 1, pp. 43-4.
27. Pannell, D.J. 1990, 'An economic response model of herbicide application for weed control', Australian Journal of Agricultural Economics, vol. 34, no. 3, pp. 223-41.
28. Pannell, D.J. 1991, 'Responses to risk in weed control decisions under expected profit maximisation: reply', Journal of Agricultural Economics, vol. 42, no. 3, pp. 407-8.
29. Pannell, D.J. 1994, 'The value of information in herbicide decision making for weed control in Australian wheat crops', Journal of Agricultural and Resource Economics, vol. 19, no. 2, pp. 366-81.
30. Pannell, D.J. 1995, 'Optimal herbicide strategies for weed control under risk aversion', Review of Agricultural Economics, vol. 17, no. 3, pp. 337-50.
31. Pannell, D.J. 1997, 'Sensitivity analysis of normative economic models: theoretical framework and practical strategies', Agricultural Economics, vol. 16, no. 2, pp. 139-52.
32. Pimentel, D. 1983, 'Effects of pesticides on the environment', in 10th International Congress of Plant Protection 1983, British Crop Protection Council, Croyden, UK, pp. 685-91.
33. Schneider, G.L., Koehler, C.B., Schepers, J.S., and Burnside, O.C. 1982, 'Roller application for Shattercane (Sorghum bicolor) control in row crops', Weed Science, vol. 30, no. 3, pp. 301-6.
34. Swinton, S.M. 1991, 'Responses to risk in weed control decisions under expected profit maximisation: comment', Journal of Agricultural Economics, vol. 42, no. 3, pp. 404-6.
35. Swinton, S.M. and King, R.P. 1994, 'The value of weed population information in a dynamic setting: the case of weed control', American Journal of Agricultural Economics, vol. 75, no. 1, pp. 36-46.
36. Thompson, J.F., Stafford, J.V. and Miller, P.C.H. 1991, 'Potential for automatic weed detection and selective herbicide application', Crop Protection, vol. 10, no. 4, pp. 254-9.
37. Thornton, P.K., Fawcett, R.H., Dent, J.B. and Perkins, T.J. 1990, 'Spatial weed distribution and economic thresholds for weed control', Crop Protection, vol. 9, no. 5, pp. 337-42.
38. Welker, W.V. and Peterson, D.L. 1989, 'A surface-roller applicator for weed control in turf, Weed Technology, vol. 3, no. 3, pp. 472-4.
39. Wiles, L.J., Oliver, G.W., York, A.C., Gold, H.J. and Wilkerson, G.G. 1992a, 'Spatial distribution of broadleaf weeds in North Carolina soybean (Glycine max) fields', Weed Science, vol. 40, no. 4, pp. 554-7.
40. Wiles, L.J., Wilkerson, G.G. and Gold, H.J. 1992b, 'Value of information about weed distribution for improving postemergence control decisions', Crop Protection, vol. 11, no. 6, pp. 547-54.
41. Wiles, L.J., Wilkerson, G.G., Gold, H.J. and Coble, H.D. 1992c, 'Modeling weed distribution for improved post-emergence control decisions', Weed Science, vol. 40, no. 4, pp. 546-53.