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Incorporation Of Within-Season Yield Growth Into A Mathematical Programming Sugarcane Harvest Scheduling Model

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  • Salassi, Michael E.
  • Champagne, Lonnie P.
  • Legendre, Benjamin L.

Abstract

This study focuses on the development of a optimal harvest scheduling mathematical programming model which incorporates within-season changes in perennial crop yields. Daily crop yield prediction models are estimated econometrically for major commercially grown sugarcane cultivars. This information is incorporated into a farm-level harvest scheduling linear programming model. The harvest scheduling model solves for an optimal daily harvest schedule which maximizes whole farm net returns above harvesting costs. Model results are compared for a commercial sugarcane farm in Louisiana.

Suggested Citation

  • Salassi, Michael E. & Champagne, Lonnie P. & Legendre, Benjamin L., 2000. "Incorporation Of Within-Season Yield Growth Into A Mathematical Programming Sugarcane Harvest Scheduling Model," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 32(3), pages 1-13, December.
  • Handle: RePEc:ags:joaaec:15305
    DOI: 10.22004/ag.econ.15305
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    References listed on IDEAS

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    3. Crane, Donald R. & Spreen, Thomas H., 1980. "A Model of the Stubble Replacement Decision for Florida Sugarcane Growers," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 12(2), pages 55-64, December.
    4. Semenzato, R., 1995. "A simulation study of sugar cane harvesting," Agricultural Systems, Elsevier, vol. 47(4), pages 427-437.
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    Crop Production/Industries;

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