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Operational forecasting of South African sugarcane production: Part 1 - System description

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  • Bezuidenhout, C.N.
  • Singels, A.

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  • Bezuidenhout, C.N. & Singels, A., 2007. "Operational forecasting of South African sugarcane production: Part 1 - System description," Agricultural Systems, Elsevier, vol. 92(1-3), pages 23-38, January.
  • Handle: RePEc:eee:agisys:v:92:y:2007:i:1-3:p:23-38
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    References listed on IDEAS

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    1. Hansen, J. W. & Jones, J. W., 2000. "Scaling-up crop models for climate variability applications," Agricultural Systems, Elsevier, vol. 65(1), pages 43-72, July.
    2. Everingham, Y. L. & Muchow, R. C. & Stone, R. C. & Inman-Bamber, N. G. & Singels, A. & Bezuidenhout, C. N., 2002. "Enhanced risk management and decision-making capability across the sugarcane industry value chain based on seasonal climate forecasts," Agricultural Systems, Elsevier, vol. 74(3), pages 459-477, December.
    3. Horie, T. & Yajima, M. & Nakagawa, H., 1992. "Yield forecasting," Agricultural Systems, Elsevier, vol. 40(1-3), pages 211-236.
    4. de Jager, J. M. & Potgieter, A. B. & van den Berg, W. J., 1998. "Framework for forecasting the extent and severity of drought in maize in the Free State Province of South Africa," Agricultural Systems, Elsevier, vol. 57(3), pages 351-365, July.
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    Cited by:

    1. Pagani, Valentina & Guarneri, Tommaso & Busetto, Lorenzo & Ranghetti, Luigi & Boschetti, Mirco & Movedi, Ermes & Campos-Taberner, Manuel & Garcia-Haro, Francisco Javier & Katsantonis, Dimitrios & Stav, 2019. "A high-resolution, integrated system for rice yield forecasting at district level," Agricultural Systems, Elsevier, vol. 168(C), pages 181-190.
    2. Pagani, Valentina & Stella, Tommaso & Guarneri, Tommaso & Finotto, Giacomo & van den Berg, Maurits & Marin, Fabio Ricardo & Acutis, Marco & Confalonieri, Roberto, 2017. "Forecasting sugarcane yields using agro-climatic indicators and Canegro model: A case study in the main production region in Brazil," Agricultural Systems, Elsevier, vol. 154(C), pages 45-52.
    3. van der Velde, Marijn & Biavetti, Irene & El-Aydam, Mohamed & Niemeyer, Stefan & Santini, Fabien & van den Berg, Maurits, 2019. "Use and relevance of European Union crop monitoring and yield forecasts," Agricultural Systems, Elsevier, vol. 168(C), pages 224-230.
    4. Le Gal, P.-Y. & Lyne, P.W.L. & Meyer, E. & Soler, L.-G., 2008. "Impact of sugarcane supply scheduling on mill sugar production: A South African case study," Agricultural Systems, Elsevier, vol. 96(1-3), pages 64-74, March.
    5. Piewthongngam, Kullapapruk & Pathumnakul, Supachai & Setthanan, Kanchana, 2009. "Application of crop growth simulation and mathematical modeling to supply chain management in the Thai sugar industry," Agricultural Systems, Elsevier, vol. 102(1-3), pages 58-66, October.
    6. Jones, M.R. & Singels, A., 2015. "Analysing yield trends in the South African sugar industry," Agricultural Systems, Elsevier, vol. 141(C), pages 24-35.
    7. Bocca, Felipe Ferreira & Rodrigues, Luiz Henrique Antunes & Arraes, Nilson Antonio Modesto, 2015. "When do I want to know and why? Different demands on sugarcane yield predictions," Agricultural Systems, Elsevier, vol. 135(C), pages 48-56.

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