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Incorporation of Within-Season Yield Growth into a Mathematical Programming Sugarcane Harvest Scheduling Model

Published online by Cambridge University Press:  28 April 2015

Michael E. Salassi ,
Lonnie P. Champagne  and
Benjamin L. Legendre
Michael E. Salassi
Affiliation:
Department of Agricultural Economics and Agribusiness, Louisiana State University Agricultural Center Sugarcane Research Unit, Agricultural Research Service, U. S. Department of Agriculture
Lonnie P. Champagne
Affiliation:
Department of Agricultural Economics and Agribusiness, Louisiana State University Agricultural Center Sugarcane Research Unit, Agricultural Research Service, U. S. Department of Agriculture
Benjamin L. Legendre
Affiliation:
Department of Agricultural Economics and Agribusiness, Louisiana State University Agricultural Center Sugarcane Research Unit, Agricultural Research Service, U. S. Department of Agriculture
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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.

Keywords

sugarcaneharvest schedulingwithin-season yield growth

Information

Type
Articles
Information
Journal of Agricultural and Applied Economics , Volume 32 , Issue 3 , December 2000 , pp. 507 - 519
Copyright
Copyright © Southern Agricultural Economics Association 2000

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