Abstract
Application of computer technology in agriculture and especially for integrated pest management (IPM) is increasing nationally in the United States. This is reflected by increased research to identify more efficient means of obtaining biological information on crops, pests and associated organisms (e.g natural enemies of pests); integrating, interpreting and forecasting the possible meaning of these data for IPM and delivering this information rapidly to decision-makers in the field. Pest management simulation models are under construction and validation by research personnel on a nation-wide scale (Ruesink 1976, Tummala et al 1976, Huffaker and Croft 1976). New extension scouting or biological monitoring systems for pests have been established in almost all agricultural states and on a variety of crops (Good 1977). Several of these monitoring programs have been coupled with computer-based, extension delivery systems on an experimental basis (e.g Giese et al 1975, Croft et al 1976a). Implementation-research groups in many agricultural states have given a high priority to developing computer-based systems for IPM over the next 10-year period (e.g Michigan, Bath et al 1977; Indiana, Giese et al 1975; New York, Barton 1977; California, Riedl and Allen 1978, Gutierrez 1978).
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References
Anonymous. 1977. “Programmable calculator becomes farm tool“. The Iowa Stater, November, Pg. 5, Iowa St. Univ., Ames, IA.
Barton, D. W. 1977. When we get the computer educated … NY Food and Life Science Quote 10: 3, 20.
Bath, J. E., G. W. Bird, B. A. Croft, D. L. Haynes, S. H. Gage, K. Dimoff, R. F. Ruppel, and R. L. Tummala. 1977. Development of a processor based hierarchical system for communication of integrated pest management information. EPA grant. Mich. State Univ. 119 pp.
Bird, G. W., M. J. Dover, and M. Saratte. 1976. On-line pest management project annual report. Mich. State Univ. Tech. Rept. 3. 119 pp.
Brunner, J. F., B. A. Croft, S. M. Welch, M. J. Dover, and G. W. Bird. 1978. A computer based extension delivery system: Progress and outlook. EPPO Plant Protect. Bull. (In press).
Carlson, G. A. 1969. A decision theoretic approach to crop disease prediction and control. Ph.D. Dissertation, University of California, Davis.
Croft, B. A. 1974. Unpublished data. Mich. State Univ., East Lansing, Mich.
Croft, B. A. 1975. Tree fruit pest management, Cpt. 13, pp. 471–507 in “Introduction to Insect Pest Management.” (Eds. R. L. Metcalf and W. Luckemann). Wiley Intersci., New York. 587 pp.
Croft, B. A., and D. L. McGroarty. 1978. The role of Amblyseius fallacis in Michigan apple orchards. Mich. Agric. Expt. Sta. Rept. 333. 24 pp.
Croft, B. A., J. L. Howes, and S. M. Welch. 1976a. A computer-based, extension pest management delivery system. Environ. Entomol. 5: 20–34.
Croft, B. A., S. M. Welch, and M. J. Dover. 1976b. Dispersion statistics and sample size estimates for populations of the mite species Panonychus ulmi (Koch) and Amblyseius fallacis (Garman) on apple. Environ. Entomol. 5: 227–234.
Dover, M. J., B. A. Croft, S. M. Welch, and R. L. Tummala. 1979. Biological control of Panonychus ulmi (Koch) (Acarina: Tetranychidae) by Amblyseius fallacis (Garman) (Acarina: Phytoseiidae) on apples: a prey/ predator model. Environ. Entomol (In press).
Edens, T. C., and K. Klonsky. 1977. The pest management executive system (PMEX): Description and economic summary. Mich. State Univ. Agr. Exp. Sta. Rept. 96 pp.
Fisher, P. D., and S. M. Welch. 1974. When to use a programmable calculator or a mini-computer to automate a system. Electronics 47: 100–103.
Giese, R., R. M. Peart, and R. M. Huber. 1975. Pest management. Sci. 187: 1045–1052.
Good, J. M. 1977. Integrated pest management — a look to the future. USDA Bull. ESC 583. 18 pp.
Gutierrez, A. P. 1978. Applying systems analysis to integrated control. Calif. Agric. 32(2): 11.
Haynes, D. L., R. K. Brandenburg, and P. D. Fisher. 1973. Environmental monitoring network for pest management systems. Environ. Entomol. 2: 889–899.
Huffaker, C. B., and B. A. Croft. 1976. Integrated pest management in the U.S.: Progress and promise. Environ. Hlth. Prosp. 14: 167–183.
Johnson, D. C. 1977. Sex-ratio estimation, sequential sampling and programmable pocket calculators. Bull. Entomol. Soc. Am. 23: 251–254.
Kenemasu, E. T. 1978. Personal communication to S. M. Welch.
Lillevik, S. L., A. L. Jones, and P. D. Fisher. 1977. A predictive field instrument for agricultural production. Microcomputer Conference Record. IEEE Catalog No 77CH1185-8, pp. 137–142.
Marino, M. L. 1972. An accessibility study of the northwest region of Michigan’s lower peninsula. Mich. State Dept. Highways and Transportation Rept. 87 pp.
Miller, D. J. 1978. Unpublished data. Mich. St. Univ., East Lansing, Mich.
Mowery, P. D., D. Asquith, and W. M. Bode. 1975. Computer simulation for predicting the number of Stethorus punctum needed to control the European red mite in Pennsylvania apple trees. J. Econ. Entomol. 68: 250–254.
Olsen, L. G., C. F. Stephens, J. E. Nugent, and T. B. Sutton. 1974. Michigan apple pest management annual report: 1913. Mich. Exten. Serv. Rept. 57 pp.
Park, W. R. 1973. Cost Engineering Analysis. John Wiley and Sons, Inc., N.Y.
Riedl, W. H., and W. W. Allen. 1978. Implementing integrated pest management in California. Calif. Agric. 32(2): 8–9.
Ruesink, W. G. 1976. Status of the systems approach to pest management. Ann. Rev. Entomol. 21: 27–44.
Shoemaker, C. 1973. Optimization of agricultural pest management III: Results and extension of a model. Mathematical Business 18: 1–22.
Tummala, R. L., D. L. Haynes, and B. A. Croft. 1976. Eds., “Modeling for Pest Management: Concepts, Applications and Techniques.” Mich. State Univ. 247 pp.
Valentine, H. T., C. M. Newton, and R. L. Talerico. 1976. Compatible systems and decision models for pest management. Environ. Entomol. 5: 891–900.
Welch, S. M. 1977. The design of biological monitoring systems for pest management. Ph.D. Thesis, Michigan State University, East Lansing.
Welch, S. M., B. A. Croft, J. F. Brunner, and M. F. Michels. 1978a. PETE: An extension phenology modeling system for management of a mite-species pest complex. Environ. Entomol. 7: 487–494.
Welch, S. M., B. A. Croft, J. F. Brunner, M. J. Dover, and A. L. Jones. 1978b. The design of biological monitoring systems for pest management. EPPO Plant Protect. Bull. (In press).
Welch, S. M., and F. L. Poston. 1979. The programmable calculator as a tool in farm-level pest management. Bull. Entomol. Soc. Am. (In press).
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Croft, B.A., Welch, S.M., Miller, D.J., Marino, M.L. (1979). Developments in Computer-Based IPM Extension Delivery and Biological Monitoring System Design. In: Boethel, D.J., Eikenbary, R.D. (eds) Pest Management Programs for Deciduous Tree Fruits and Nuts. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-9104-7_7
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DOI: https://doi.org/10.1007/978-1-4615-9104-7_7
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