Abstract
Area-wide pest management essentially represents coordinated adoption of integrated pest management to conduct preventive suppression of a pest species throughout its geographic distribution. Scientists and researchers in area-wide pest management programs have been developing, integrating, and evaluating multiple strategies and technologies into a systems approach for management of field and crop insect pests. Remote sensing, Global Positioning Systems, geographic information systems, and variable rate technology are additional tools that scientists can implement to help farmers maximize the economic and environmental benefits of area-wide pest management through precision agriculture.
Precision area-wide pest management systems were originally developed to reduce the country’s daily risk of natural pest introductions. Now the systems are being developed to reduce the daily risk the country faces of pest introductions, both natural and intentional. Aerial application under precision area-wide pest management strategy is one of the most feasible methods to quickly limit the threat of area-wide pest infestations, which increased after the terrorist attacks of September 11, 2001.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Al-Gaadi, K. A. & Ayers, P. D. (1999). Integrating GIS and GPS into a spatially variable rate herbicide application system. Appl. Eng. Agric., 15(4), 255–262.
Elachi, C. (1987). Introduction to the physics and techniques of remote sensing. (New York: Wiley).
Green, C. J. (1998). Precision agriculture and cotton production. (In S. K. Esteicher, K. Stefan, & M. Holtz (Eds.), The Science Corner. Lubbock, TX: Department of Physics, Texas Tech University).
Isard, S. A., Gage, S. H., Comtois, P. & Russo, J.M. (2005). Principles of the atmospheric pathway for invasive species applied to soybean rust. BioScience, 55, 851–861.
Jackson, R. D. (1984). Remote sensing of vegetation characteristics for farm management. SPIE Remote Sens., 475, 81–96.
Johannsen, C. J., Barr, D. J. & Barney, T. W. (1977). Remote sensing and applications, Remote sensing applications in extension programs conference, April 1977.
Knipling, E. F. & Stadelbacher, E. A. (1983). The rationale for areawide management of Heliothis (Lepidoptera: Noctuidae) populations. Bull. Entomol. Soc. Am., 29, 29–37.
Larsen, W. E., Tyler, D. A. & Neilson, G.A. (1988). Field navigation using global positioning system (GPS). ASAE Paper No. 88–1604. St. Joseph, MI: ASAE.
Lorenzen, B. & Jensen, A. (1989). Changes in leaf spectral properties induced in barley by cereal powdery mildew. Remote Sens. Environ., 27, 201–209.
Myers, V. I. (1983). Remote sensing applications in agriculture. (In R. N. Colwell (Ed.), Manual of remote sensing, 2nd ed., Vol. III (pp. 2111–2228). Falls Church, VA: American Society of Photogrammetry).
Owe, M. & D’Urso, G. (2002). Remote sensing for agriculture, ecosystems, and hydrology III. (Bellingham, WA: SPIE).
Pedigo, L. P. (2002). Entomology and pest management, 4th ed. (691 pp.) (Englewood Cliffs, NJ: Prentice-Hall).
Phillips, M. W. & Johannsen, C. J. (1969). Remote sensing in agriculture, agronomy crops and soils notes, Cooperative Extension Service, Purdue University, No. 130, August 1969.
Qin, Z., Zhang, M., Christensen, T., Li, W. & Tang, H. (2003). Remote sensing analysis of rice disease stresses for farm pest management using wide-band airborne data, Proceedings. of IEEE International Geoscience and Remote Sensing Symposium, July 2003. Toulouse, France, pp. 2215–2217.
Reisig, D. & Godfrey, L. (2006). Remote sensing for detection of cotton aphid–(homoptera: aphididae) and spider mite–(acari: tetranychidae) infested cotton in the San Joaquin Valley. Environ. Entomol., 35(6), 1635–1646.
Riedell, W. E., Osborne, S. L. & Hesler, L. S. (2005). Insect pest and disease detection using remote sensing techniques. Meeting Proceedings of 7th International Conference on Precision Agriculture, July 25–28, 2004, Minneapolis, MN.
Smith, L. A. & Thomson, S. J. (2005). Performance of an aerial variable-rate application system with a hydraulically powered chemical pump and spray valve. (Paper No. AA05–009. The 39th annual convention of the National Agricultural Aviation Association, Reno, NV).
Steve, M. D. & Clark, J. A. (1990). Applications of remote sensing in agriculture. (London: Butterworths).
Sudbrink, D. L., Jr., Harris, F. A., Robbins, J. T., Snodgrass, G. L. & Thomson, S. J. (2000). Remote sensing of late-season pest damage to cotton & wild host plants of tarnished plant bug in the Mississippi delta. 2000 National Cotton Council Beltwide Cotton Conference, Vol. 2, pp. 1220–1223.
Thurston T., Poiker, T. K., & Moore J. P. (2003). Integrated geospatial technologies: A guide to GPS, GIS and data logging. (New Jersey: Wiley).
Westbrook, J. K. & Isard, S. A. (1999). Atmospheric scale of motion for dispersing biota. Agric. Forest Meteorol., 97, 263–274.
Willers, J. L., Jenkins, J. N., Ladner, W. L, Gerard, P. D., Boykin, D. L., Hood, K. B., McKibben, P. L., Samson, S. A. & Bethel, M. M. (2005). Site-specific approaches to cotton insect control: Sampling, and remote sensing analyses techniques. Prec. Agri., 6, 431–452.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer Science + Business Media B.V
About this chapter
Cite this chapter
Huang, Y., Lan, Y., Westbrook, J.K., Hoffmann, W.C. (2008). Remote Sensing and GIS Applications for Precision Area-Wide Pest Management: Implications for Homeland Security. In: Sui, D.Z. (eds) Geospatial Technologies and Homeland Security. The GeoJournal Library, vol 94. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-8507-9_12
Download citation
DOI: https://doi.org/10.1007/978-1-4020-8507-9_12
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-8339-6
Online ISBN: 978-1-4020-8507-9
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)