Hostname: page-component-cd9895bd7-dzt6s Total loading time: 0 Render date: 2024-12-22T05:51:32.916Z Has data issue: false hasContentIssue false
  • English
  • Français

Economics of site-specific weed management

Published online by Cambridge University Press:  20 January 2017

Scott M. Swinton
Scott M. Swinton*
Affiliation:
Department of Agricultural Economics, Michigan State University, East Lansing, MI 48824-1039; swintons@msu.edu
Get access Rights & Permissions [Opens in a new window]

Abstract

Nascent research on the profitability of site-specific weed management has focused on reduced herbicide use, ignoring significant information costs for scouting, making treatment maps, and patch herbicide application. Including these information costs results in few, if any, studies, fully covering added costs with herbicide savings. Real-time, sensor-driven site-specific herbicide management promises to overcome many of the scouting and map-making costs so long as weed species recognition accuracy continues to improve and commercial capital costs to decline. Two means to increase revenues are possible from site-specific weed management: value-added crop products (e.g., herbicide-free, nontransgenic crops) and environmental stewardship payments from government programs. Site-specific ecological weed management offers a more fruitful means to garner both higher prices from “green” consumers and revenues for sound environmental stewardship. It entails using spatial tools to enhance habitat for weed predators and diseases and their vectors, as well as to grow crops that are better able to compete with weeds. The most economically promising areas for future weed management will draw upon both spatial and developmental management tools.

Keywords

Bioeconomic modeldecision aidintegrated weed managementsite-specific weed managementweed ecology
Type
Symposium
Information
Weed Science , Volume 53 , Issue 2 , April 2005 , pp. 259 - 263
Copyright
Copyright © Weed Science Society of America 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Literature Cited

Bennett, A. and Pannell, D. J. 1998. Economic evaluation of a weed-activated sprayer for herbicide application to patchy weed populations. Aust. J. Agric. Econ 42:389–408.Google Scholar
Buhler, D. D. 2002. Challenges and opportunities for integrated weed management. Weed Sci 50:273–280.Google Scholar
Carmona, D. M., Menalled, F. D., and Landis, D. A. 1999. Gryllus pennsylvanicus (Orthoptera: Gryllidae): laboratory weed seed predation and within field activity-density. J. Econ. Entomol 92:825–829.Google Scholar
Copenhaver, K., Gress, T., Sprague, C., and Bunting, J. 2002. The use of remote sensing for weed detection, delineation in soybeans. Pages 1522–1534 in Robert, P. C. ed. Proceedings of the Sixth International Conference on Precision Agriculture (CD-ROM). Madison, WI: ASA/CSSA/SSSA.Google Scholar
Dammer, K. H., Schweigert, T., and Wittmann, C. 1999. Probability maps for risk assessment in a patchy weed control. Precision Agric 1:185–198.Google Scholar
Dieleman, J. A., Mortensen, D. A., Buhler, D. D., and Ferguson, R. B. 2000. Identifying associations among site properties and weed species abundance. II. Hypothesis generation. Weed Sci 48:576–587.CrossRefGoogle Scholar
Gerhards, R., Sökefeld, M., Timmermann, C., Kühbauch, W., and Williams, M. M. II. 2002. Site-specific weed control in maize, sugar beet, winter wheat and winter barley. Precision Agric 3:25–35.Google Scholar
Heisel, T., Christensen, S., and Walter, A. M. 1999. Whole-field experiments with site-specific weed management. Pages 759–768 in Stafford, J. V. ed. Precision Agriculture '99, Volume 2. Sheffield, UK: Sheffield Academic.Google Scholar
Johnson, D. R., Wyse, D. L., and Jones, K. J. 1996. Controlling weeds with phytopathogenic bacteria. Weed Technol 10:621–624.CrossRefGoogle Scholar
King, R. P., Swinton, S. M., Lybecker, D. W., and Oriade, C. A. 1998. The economics of weed control and the value of weed management information. Pages 25–41 in Hatfield, J. L., Buhler, D. D., and Stewart, B. A. eds. Integrated Weed and Soil Management. Chelsea, MI: Ann Arbor Press.Google Scholar
Lamb, D. W., Weedon, M. M., and Rew, L. J. 1999. Evaluating the accuracy of mapping weeds in seedling crops using airborne digital imaging: Avena spp. in seedling triticale. Weed Res 39:481–492.Google Scholar
Lass, L. W. and Prather, T. S. 2005. Early detection of spotted knapweed and babysbreath with a hyperspectral sensor. Weed Sci 53:242–251.Google Scholar
Lowenberg-DeBoer, J. and Aghib, A. 1999. Average returns and risk characteristics of site specific P and K management: eastern corn belt on-farm trial results. J. Prod. Agric 12:276–282.CrossRefGoogle Scholar
Marino, P. C., Gross, K. L., and Landis, D. A. 1997. Weed seed loss due to predation in Michigan maize fields. Agric. Ecosyst. Environ 66:189–196.CrossRefGoogle Scholar
Martin-Chefson, L., Chapron, M., Philipp, S., Assemat, L., and Boissard, P. 1999. A two dimensional method for recognising weeds from multiband image processing. Pages 473–483 in Stafford, J. V. ed. Precision Agriculture '99, Volume 1. Sheffield, UK: Sheffield Academic.Google Scholar
Medlin, C. R. and Shaw, D. R. 2000. Economic comparison of broadcast and site-specific herbicide applications in nontransgenic and glyphosate-tolerant Glycine max . Weed Sci 48:653–661.Google Scholar
Medlin, C. R., Shaw, D. R., Gerard, P. R., and LaMastus, F. E. 2000. Using remote sensing to detect weed infestations in Glycine max . Weed Sci 48:393–398.CrossRefGoogle Scholar
Menalled, F. D., Marino, P. C., Renner, K. A., and Landis, D. A. 2000. Post-dispersal weed seed predation in Michigan crop fields as a function of agricultural landscape structure. Agric. Ecosyst. Environ 77:193–202.Google Scholar
Mortensen, D. A. and Coble, H. D. 1991. Two approaches to weed control decision-aid software. Weed Technol 5:445–452.Google Scholar
Moushou, D., Ramon, H., and de Baerdemaeker, J. 2002. A weed species spectral detector based on neural networks. Precision Agric 3:209–223.Google Scholar
[NRCS] Natural Resources Conservation Service. 2004a. Environmental Quality Incentives Program. www.nrcs.usda.gov/programs/csp/.Google Scholar
[NRCS] Natural Resources Conservation Service. 2004b. Conservation Security Program. www.nrcs.usda.gov/programs/csp/.Google Scholar
Oriade, C. A., King, R. P., Forcella, F., and Gunsolus, J. L. 1996. A bioeconomic analysis of site-specific management for weed control. Rev. Agric. Econ 18:523–535.Google Scholar
Povey, F. D., Smith, H., and Watt, T. A. 1993. Predation of annual grass weed seeds in arable field margins. Ann. Appl. Biol 122:323–328.CrossRefGoogle Scholar
Sebolt, D. C. and Landis, D. A. 2002. Neonate Galerucella calmariensis (Coleoptera: Chrysomelidae) behavior on purple loosestrife (Lythrum salicaria) contributes to reduced predation. Environ. Entomol 31:880–886.Google Scholar
Stafford, J. V. and Miller, P. C. H. 1993. Spatially selective application of herbicide to cereal crops. Comput Electron. Agric 9:217–229.Google Scholar
Swinton, S. M. 2003. Site-specific pest management. Pages 155–168 in den Hond, F., et al. eds. Pesticides: Problems, Improvements and Alternatives. Oxford: Blackwell.Google Scholar
Swinton, S. M., Harsh, S. B., and Ahmad, M. 1996. Whether and How to Invest in Site-specific Crop Management: Results of Focus Group Interviews in Michigan, 1996. Staff Paper 96-37R. East Lansing, MI: Department of Agriculture Economics, Michigan State University.Google Scholar
Swinton, S. M., Liu, Y., Kravchenko, A. N., Laboski, C. A. M., and Miller, N. R. 2002a. Corn yield response to nitrogen: does it vary site-specifically? Pages 31–44 in Robert, P. C. ed. Proceedings of the Sixth International Conference on Precision Agriculture (CD-ROM). Madison, WI: ASA/CSSA/SSSA.Google Scholar
Swinton, S. M. and Lowenberg-DeBoer, J. 1998. Evaluating the profitability of site-specific farming. J. Prod. Agric 11:439–446.Google Scholar
Swinton, S. M., Renner, K. A., and Kells, J. J. 2002. On-farm comparison of three postemergence weed management decision aids in Michigan. Weed Technol 16:691–698.Google Scholar
Timmermann, C., Gerhards, R., and Küthbauch, W. 2003. The economic impact of site-specific weed control. Precision Agric 4:249–260.Google Scholar
Vrindts, E., de Baerdemaeker, J., and Ramon, H. 2002. Weed detection using canopy reflection. Precision Agric 3:63–80.CrossRefGoogle Scholar
Whipker, L. D. and Akridge, J. T. 2003. 2003 Precision Agricultural Services Dealership Survey Results. Staff Paper No. 3-10. West Lafayette, IN: Center for Food and Agricultural Business, Purdue University.Google Scholar
Williams, M. M. II. and Mortensen, D. A. 2000. Crop/weed outcomes from site-specific and uniform soil-applied herbicide applications. Precision Agric 2:377–388.CrossRefGoogle Scholar
Young, D. L., Kwon, T. J., Smith, E. G., and Young, F. L. 2003. Site-specific herbicide decision model to maximize profit in winter wheat. Precision Agric 4:227–238.CrossRefGoogle Scholar
Zhang, N., Wang, N., Wei, J., and Stoll, Q. 2002. A real-time, embedded, weed-detection and spray-control system. Pages 984–1000 in Robert, P. C. ed. Proceedings of the Sixth International Conference on Precision Agriculture (CD-ROM). Madison, WI: ASA/CSSA/SSSA.Google Scholar