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Dynamic Programming Methods for Characterizing In-Season Farm Management Decisions

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  • Gallagher, Nicholas James

Abstract

The agriculture industry is unique in the high level of influence from randomness in the environment due to the many ways in which an agricultural production system interacts with the environment. Static models fail to accurately characterize the sequential decision process of the farmer. Capturing the temporal dynamics of farm management decisions necessitates a sequential decision model. The demands of conceptualizing and computing sequential decisionmaking models are especially salient in agriculture, where substantial influence from countless exogenous random variables has made useful formulations of many farm-level decisions intractable. I begin with an assessment of decision making in agriculture, focusing on the potential of sequential decision models, and provide a brief history of their applications in farmlevel decision making. I then present a generalized model of in-season crop production that ties all field level decisions to the temporal constraint inherent to a single production season. I discuss the considerations necessary to effectively model farm-level decision making with a dynamic model, and additional considerations for possible extensions of the model. I then present three applications of the model. The first application is to a simplified crop decision problem where a farmer is deciding the allocation of acres between corn and soybeans. The second application is to the prevented planting policy of Revenue Protection crop insurance. The third application is to a short-horizon alfalfa harvest optimization problem.

Suggested Citation

  • Gallagher, Nicholas James, 2024. "Dynamic Programming Methods for Characterizing In-Season Farm Management Decisions," Dissertations and Theses 344827, Ekiti State University, Ado-Ekiti, Department of Agricultural Economics and Extension Services.
    • Handle: RePEc:ags:uekndt:344827
    DOI: 10.22004/ag.econ.344827
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    1. Mjelde, James W. & Dixon, Bruce L. & Sonka, Steven T., 1989. "Estimating The Value Of Sequential Updating Solutions For Intrayear Crop Management," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 14(01), pages 1-8, July.
    2. Rejesus, Roderick M. & Lovell, Ashley C. & Little, Bertis B. & Cross, Mike H., 2003. "Determinants of Anomalous Prevented Planting Claims: Theory and Evidence from Crop Insurance," Agricultural and Resource Economics Review, Cambridge University Press, vol. 32(2), pages 244-258, October.
    3. Sushil Pandey & R.W. Medd, 1991. "A stochastic dynamic programming framework for weed control decision making: an application to Avena fatua L," Agricultural Economics, International Association of Agricultural Economists, vol. 6(2), pages 115-128, December.
    4. Flinn, John C. & Musgrave, Warren F., 1967. "Development And Analysis Of Input-Output Relations For Irrigation Water," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 11(01), pages 1-19, June.
    5. Jean-Paul Chavas & Matthew T. Holt, 1990. "Acreage Decisions Under Risk: The Case of Corn and Soybeans," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(3), pages 529-538.
    6. Mjelde, James W. & Dixon, Bruce L. & Sonka, Steven T. & Lamb, Peter J., 1987. "Dynamic Programming Model of the Corn Production Process for East-Central Illinois," Staff Paper Series 257981, Texas A&M University, Department of Agricultural Economics.
    7. Mark A. Krause & J. Roy Black, 1995. "Optimal Adoption Strategies for No-Till Technology in Michigan," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 17(3), pages 299-310.
    8. Kennedy, John O.S., 1981. "An Alternative Method for Deriving Optimal Fertilizer Rates: Comment and Extension," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 49(03), pages 1-7, December.
    9. Oscar R. Burt & Ralph D. Johnson, 1967. "Strategies for Wheat Production in the Great Plains," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 49(4), pages 881-899.
    10. Paul L. Fackler & Michael J. Livingston, 2002. "Optimal Storage by Crop Producers," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(3), pages 645-659.
    11. John O.S. Kennedy & I.F. Whan & R. Jackson & John L. Dillon, 1973. "Optimal Fertilizer Carryover And Crop Recycling Policies For A Tropical Grain Crop," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 17(2), pages 104-113, August.
    12. M. S. Stauber & Oscar R. Burt & Fred Linse, 1975. "An Economic Evaluation of Nitrogen Fertilization of Grasses When Carry-over is Significant," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 57(3), pages 463-471.
    13. Boyer, Christopher N. & Aaron Smith, S., 2019. "Evaluating Changes to Prevented Planting Provision on Moral Hazard," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 51(2), pages 315-327, May.
    14. Dan Yaron & Ariel Dinar, 1982. "Optimal Allocation of Farm Irrigation Water during Peak Seasons," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 64(4), pages 681-689.
    15. Shenan Wu & Barry K. Goodwin & Keith Coble, 2020. "Moral hazard and subsidized crop insurance," Agricultural Economics, International Association of Agricultural Economists, vol. 51(1), pages 131-142, January.
    16. Roderick M. Rejesus & Cesar L. Escalante & Ashley C. Lovell, 2005. "Share Tenancy, Ownership Structure, and Prevented Planting Claims in Crop Insurance," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(1), pages 180-193.
    17. Pandey, Sushil & Medd, R. W., 1991. "A stochastic dynamic programming framework for weed control decision making: an application to Avena fatua L," Agricultural Economics, Blackwell, vol. 6(2), pages 115-128, December.
    18. Wilks, D. S. & Pitt, R. E. & Fick, G. W., 1993. "Modeling optimal alfalfa harvest scheduling using short-range weather forecasts," Agricultural Systems, Elsevier, vol. 42(3), pages 277-305.
    19. Delbridge, Timothy A. & King, Robert P., 2016. "Transitioning to Organic Crop Production: A Dynamic Programming Approach," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 41(3), pages 1-18, September.
    20. Oscar R. Burt & John R. Allison, 1963. "Farm Management Decisions With Dynamic Programming," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 45(1), pages 121-136.
    21. Schnitkey, Gary & Paulson, Nick & Zulauf, Carl & Swanson, Krista, 2020. "Revenue Protection: The Most Used Crop Insurance Product," farmdoc daily, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics, vol. 10(198), November.
    22. Abdallah Ben Alaya & Abderrazek Souissi & Jamila Tarhouni & Kamel Ncib, 2003. "Optimization of Nebhana Reservoir Water Allocation by Stochastic Dynamic Programming," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 17(4), pages 259-272, August.
    23. Schnitkey, Gary, 2016. "Corn and Soybean Acres in Illinois," farmdoc daily, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics, vol. 6, October.
    24. Itoh, Takeshi & Ishii, Hiroaki & Nanseki, Teruaki, 2003. "A model of crop planning under uncertainty in agricultural management," International Journal of Production Economics, Elsevier, vol. 81(1), pages 555-558, January.
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    Crop Production/Industries; Environmental Economics and Policy;

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