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Accuracy of a Global Positioning System (GPS) for Weed Mapping

Published online by Cambridge University Press:  12 June 2017

Theodore M. Webster
Affiliation:
Department of Horticulture and Crop Science, Ohio Agricultural Research and Development Center, Ohio State University, Wooster, OH 44691
John Cardina
Affiliation:
Department of Horticulture and Crop Science, Ohio Agricultural Research and Development Center, Ohio State University, Wooster, OH 44691

Abstract

Experiments were conducted to test the accuracy of a global positioning system (GPS) in measuring the area of simulated weed patches of varying size and to determine the accuracy in navigating back to particular points in a field. Circular areas of 5, 50, and 500 m2 were established and measured using point and polygon features of a GPS. The GPS estimations of the area of those patches had errors ranging from 7 to 45%, 6 to 15%, and 3 to 6%, respectively, when compared to actual measurements. As patch size increased, errors decreased. A curve describing the relationship between GPS error and patch size had an excellent fit (r 2 = 0.92). The error remained the same in all measurements across all patch sizes, but composed a smaller percentage of large patches. The GPS had submeter accuracy in navigation to the correct quadrat 73% of the time, located the correct quadrat 27% of the time, and invariably navigated to within 1.58 m of the correct quadrat. The relationship between patch size and measurement error was applied to natural infestations of hemp dogbane.

Type
Research
Copyright
Copyright © 1997 by the Weed Science Society of America 

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References

Literature Cited

Amor, R. L. and Harris, R. V. 1975. Seedling establishment and vegetative spread of Cirsium arvense (L.) Scop. In Victoria, Australia. Weed Res. 15:407411.Google Scholar
Horowitz, M. 1973. Spatial growth of Sorghum halepense (L.) Pers. Weed Res. 13:200208.Google Scholar
Kvien, C., Walters, D., and Usery, L. 1995. Farming in the information age. Precision Farming Dec:1319.Google Scholar
Lass, L. W. and Callihan, R. H. 1993. GPS and GIS for weed surveys and management. Weed Technol. 7:249254.Google Scholar
Schueller, J. K. 1996. Impediments to spatially-variable field operations. Comput. Electron. Agric. 14:249253.Google Scholar
Stafford, J. V. and Ambler, B. 1994. In-Held location using GPS for spatially variable field operations. Comput. Electron. Agric. 11:2326.Google Scholar
Stafford, J. V., Le Bars, J. M., and Ambler, B. 1996. A hand-held data logger with integral GPS for producing weed maps by field walking. Comput. Electron. Agric. 14:235247.Google Scholar
Trimble Navigation. 1996. TDC1 Asset Surveyor Software User's Guide. Surveying and Mapping Division. Sunnyvale, CA: Trimble Navigation.Google Scholar
Trimble Navigation. 1997. Characterizing Accuracy of Trimble Pathfinder Mapping Receivers. Survey and Mapping Systems Group. Sunnyvale. CA: Trimble Navigation.Google Scholar
Wilson, B. J. and Brain, P. 1990. Weed monitoring on a whole farm—patchiness and the stability of distribution of Alopecurus mysouroides over a 10 year period. In: Integrated Weed Management in Cereals. Helsinki: Proceedings of the European Weed Research Society Symposium. pp. 4552.Google Scholar