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Machinery Selection Modeling: Incorporation of Weather Variability

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  • Abdulla B. Danok
  • Bruce A. McCarl
  • T. Kelley White

Abstract

An alternative analytical approach to the important and complex machinery selection problem is proposed. A mathematical programming model is developed which embodies (a) the integer nature of machinery decisions, (b) the stochastic nature of weather, (c) the joint selection of machinery and crop plans, and (d) selection among machinery sets rather than among individual machines. Optimal machinery and crop plans are determined for selected weather probability levels. The robustness of machinery sets over a range of weather conditions is evaluated by subjecting the distributions of outcomes for alternative machinery sets to stochastic dominance criteria. Bias of good-field-day distributions is also discussed.

Suggested Citation

  • Abdulla B. Danok & Bruce A. McCarl & T. Kelley White, 1980. "Machinery Selection Modeling: Incorporation of Weather Variability," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 62(4), pages 700-708.
  • Handle: RePEc:oup:ajagec:v:62:y:1980:i:4:p:700-708.
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    Cited by:

    1. Yangxuan Liu & Michael R. Langemeier & Ian M. Small & Laura Joseph & William E. Fry & Jean B. Ristaino & Amanda Saville & Benjamin M. Gramig & Paul V. Preckel, 2018. "A Risk Analysis of Precision Agriculture Technology to Manage Tomato Late Blight," Sustainability, MDPI, vol. 10(9), pages 1-19, August.
    2. McCarl, Bruce A., 1984. "Model Validation: An Overview with some Emphasis on Risk Models," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 52(03), pages 1-21, December.
    3. Bruce A. McCarl & David A. Bessler, 1989. "Estimating An Upper Bound On The Pratt Risk A Version Coefficient When The Utility Function Is Unknown," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 33(1), pages 56-63, April.
    4. Liu, Yangxuan & Langemeier, Michael & Small, Ian & Joseph, Laura & Fry, William, 2015. "Risk management strategies using potato precision farming technology," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205417, Agricultural and Applied Economics Association.
    5. Braford, Garnett L. & Reid, Donald W., 1984. "A Mathematical Programming Decision Model For Farm Machinery Replacement: A Conceptual Specification," 1984 Annual Meeting, August 5-8, Ithaca, New York 279091, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Baruah, D. C. & Das, P. K. & Dutta, P. K., 2004. "Present status and future demand for energy for bullock-operated paddy-farms in Assam (India)," Applied Energy, Elsevier, vol. 79(2), pages 145-157, October.
    7. Lixia H. Lambert & Eric A. DeVuyst & Burton C. English & Rodney Holcomb, 2021. "Analyzing the Trade-Offs between Meeting Biorefinery Production Capacity and Feedstock Supply Cost: A Chance Constrained Approach," Energies, MDPI, vol. 14(16), pages 1-13, August.
    8. McCarl, Bruce A., 1988. "Preference Among Risky Prospects Under Constant Risk Aversion," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 20(2), pages 25-34, December.
    9. Huang, Wen-Yuan & Hewitt, Tracy I. & Shank, David, 1998. "An Analysis Of On-Farm Costs Of Timing N Applications To Reduce N Losses," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 23(2), pages 1-23, December.
    10. Goh, Siew & Shih, Chao-Chyuan & Cochran, Mark J. & Raskin, Rob, 1989. "A Generalized Stochastic Dominance Program For The Ibm Pc," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 21(2), pages 1-8, December.
    11. Marra, Michele C. & Carlson, Gerald A., 1987. "The Role Of Farm Size And Resource Constraints In The Choice Between Risky Technologies," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 12(2), pages 1-10, December.
    12. Rister, M. Edward & Skees, Jerry R., 1982. "The Value Of Outlook Information In Post-Harvest Marketing Strategies," 1982 Annual Meeting, August 1-4, Logan, Utah 279431, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    13. McCarl, Bruce A. & Musser, Wesley N., 1985. "Modeling Long Run Risk In Production And Investment Decisions," Regional Research Projects > 1985: S-180 Annual Meeting, March 24-27, 1985, Charleston, South Carolina 271799, Regional Research Projects > S-180: An Economic Analysis of Risk Management Strategies for Agricultural Production Firms.
    14. Kingwell, Ross S., 1996. "On-Farm Factors Influencing Investment In Crop Sowing Machinery," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 40(3), pages 1-14, December.
    15. Apland, Jeffrey, 1988. "Flow Resources, Field Time And Modeling The Farm Firm: Concepts And Research Needs," Staff Papers 13386, University of Minnesota, Department of Applied Economics.
    16. Apland, Jeffrey, 1990. "Incorporating Field Time Risk Into A Stochastic Programming Model Of Farm Production," Staff Papers 14283, University of Minnesota, Department of Applied Economics.
    17. Apland, Jeffrey & Hammida, Mustapha & Olson, Kent D. & Moncrief, John, 1989. "Tillage Systems For Minnesota Farms: Alternative Technologies, Economic Considerations, And Data Needs," Staff Papers 14137, University of Minnesota, Department of Applied Economics.
    18. McCarl, Bruce A., 1990. "Generalized Stochastic Dominance: An Empirical Examination," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 22(1), pages 1-7, December.
    19. Misra, Sukant K. & Spurlock, Stanley R., 1991. "Incorporating The Impacts Of Uncertain Fieldwork Time On Whole-Farm Risk-Return Levels: A Target Motad Approach," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 23(2), pages 1-10, December.
    20. Griffin, Terry W. & Mark, Tyler B. & Dobbins, Craig L. & Lowenberg-DeBoer, James M., 2014. "Estimating whole farm costs of conducting on-farm research on midwestern US corn and soybean farms: A linear programming approach," International Journal of Agricultural Management, Institute of Agricultural Management, vol. 4(1), October.
    21. Dillon, Carl R. & Shearer, Scott A. & Mueller, Thomas, 2001. "A Mixed Integer, Nonlinear Programming Model Of Innovative Variable Rate Planting Date With Polymer Seed Coatings," 2001 Annual meeting, August 5-8, Chicago, IL 20572, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

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