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Forecasting Crop Quality

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  • Ryland, G.J.

Abstract

The need for a forecasting system of biological quality arises as a result of the price-quality payment schemes in grower and processor contracts which operate in many agricultural cropping industries. The seasonal nature of the series of vertical quality height gives rise to questions as to the repetitive pattern of the shape and trend translation of the series. These hypotheses can be tested using conventional statistical methods. For non-stationary series, however, a Box-Jenkins type dynamic seasonal model is proposed. These forecasting procedures are applied to a series of sugar cane quality.

Suggested Citation

  • Ryland, G.J., 1975. "Forecasting Crop Quality," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 43(02), pages 1-16, June.
    • Handle: RePEc:ags:remaae:9159
    DOI: 10.22004/ag.econ.9159
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    References listed on IDEAS

    as
    1. Matsumoto, Masao & French, Ben C., 1971. "Empirical Determination of Optimum Quality Mix," Journal of Agricultural Economics Research, United States Department of Agriculture, Economic Research Service, vol. 23(1), pages 1-11, January.
    2. Cowling, Keith & Rayner, A J, 1970. "Price, Quality, and Market Share," Journal of Political Economy, University of Chicago Press, vol. 78(6), pages 1292-1309, Nov.-Dec..
    3. Maddala, G S, 1971. "The Use of Variance Components Models in Pooling Cross Section and Time Series Data," Econometrica, Econometric Society, vol. 39(2), pages 341-358, March.
    4. Fuller, Wayne A., 1969. "Grafted Polynomials As Approximating Functions," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 13(1), pages 1-12, June.
    5. Guise, John W.B. & Ryland, G.J., 1969. "Production Scheduling And Allocation: A Normative Decision Model For Sugar Milling," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 13(1), pages 1-17, June.
    6. John W.B. Guise & G.J. Ryland, 1969. "Production Scheduling And Allocation: A Normative Decision Model For Sugar Milling," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 13(1), pages 8-24, June.
    7. Wayne A. Fuller, 1969. "Grafted Polynomials As Approximating Functions," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 13(1), pages 35-46, June.
    8. H. E. Doran & J. J. Quilkey, 1972. "Harmonic Analysis of Seasonal Data: Some Important Properties," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 54(4_Part_1), pages 646-651.
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    Cited by:

    1. Gellatly, Colin, 1979. "Forecasting N.S.W. Beef Production: An Evaluation of Alternative Techniques," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 47(02), pages 1-14, August.
    2. Borrell, Brent & Wong, Gordon, 1986. "Efficiency of transport, milling and handling in the sugar industry: a case study of the Mackay region," Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES) Archive 316178, Australian Government, Australian Bureau of Agricultural and Resource Economics and Sciences.
    3. Wong, Gordon & Sturgiss, Robert & Borrell, Brent, 1989. "The Economic Consequences of International Sugar Trade Reform," Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES) Archive 316166, Australian Government, Australian Bureau of Agricultural and Resource Economics and Sciences.

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    Keywords

    Crop Production/Industries;

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