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Annual forecasting of the Australian macadamia crop - integrating tree census data with statistical climate-adjustment models

Author

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  • Mayer, D.G.
  • Stephenson, R.A.
  • Jones, K.H.
  • Wilson, K.J.
  • Bell, D.J.D.
  • Wilkie, J.
  • Lovatt, J.L.
  • Delaney, K.E.

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Suggested Citation

  • Mayer, D.G. & Stephenson, R.A. & Jones, K.H. & Wilson, K.J. & Bell, D.J.D. & Wilkie, J. & Lovatt, J.L. & Delaney, K.E., 2006. "Annual forecasting of the Australian macadamia crop - integrating tree census data with statistical climate-adjustment models," Agricultural Systems, Elsevier, vol. 91(3), pages 159-170, December.
    • Handle: RePEc:eee:agisys:v:91:y:2006:i:3:p:159-170
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    References listed on IDEAS

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    1. Deng, Xinan & Luo, Yuzhou & Dong, Suocheng & Yang, Xiusheng, 2005. "Impact of resources and technology on farm production in northwestern China," Agricultural Systems, Elsevier, vol. 84(2), pages 155-169, May.
    2. Liang, Tung & Wong, Wilbert P. H. & Uehara, Goro, 1983. "Simulating and mapping agricultural land productivity: An application to Macadamia nut," Agricultural Systems, Elsevier, vol. 11(4), pages 225-253.
    3. Garcia-Paredes, J. D. & Olson, K. R. & Lang, J. M., 2000. "Predicting corn and soybean productivity for Illinois soils," Agricultural Systems, Elsevier, vol. 64(3), pages 151-170, June.
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    Cited by:

    1. Mayer, David G. & Chandra, Kerri A. & Burnett, Jolyon R., 2019. "Improved crop forecasts for the Australian macadamia industry from ensemble models," Agricultural Systems, Elsevier, vol. 173(C), pages 519-523.

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