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Enhanced risk management and decision-making capability across the sugarcane industry value chain based on seasonal climate forecasts

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  • Everingham, Y. L.
  • Muchow, R. C.
  • Stone, R. C.
  • Inman-Bamber, N. G.
  • Singels, A.
  • Bezuidenhout, C. N.

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  • 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.
    • Handle: RePEc:eee:agisys:v:74:y:2002:i:3:p:459-477
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    1. Dudley, Norman J. & Hearn, A. Brian, 1993. "El Nino effects hurt namoi irrigated cotton growers, but they can do little to ease the pain," Agricultural Systems, Elsevier, vol. 42(1-2), pages 103-126.
    2. 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.
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    1. Hansen, James W., 2002. "Realizing the potential benefits of climate prediction to agriculture: issues, approaches, challenges," Agricultural Systems, Elsevier, vol. 74(3), pages 309-330, December.
    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. Stewart-Koster, Ben & Dieu Anh, Nguyen & Burford, Michele A. & Condon, Jason & Qui, Nguyen Van & Hiep, Le Huu & Bay, Doan Van & Sammut, Jesmond, 2017. "Expert based model building to quantify risk factors in a combined aquaculture-agriculture system," Agricultural Systems, Elsevier, vol. 157(C), pages 230-240.
    4. Bezuidenhout, C.N. & Singels, A., 2007. "Operational forecasting of South African sugarcane production: Part 2 - System evaluation," Agricultural Systems, Elsevier, vol. 92(1-3), pages 39-51, January.
    5. Bert, Federico E. & Satorre, Emilio H. & Toranzo, Fernando Ruiz & Podesta, Guillermo P., 2006. "Climatic information and decision-making in maize crop production systems of the Argentinean Pampas," Agricultural Systems, Elsevier, vol. 88(2-3), pages 180-204, June.
    6. 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.
    7. Higgins, Andrew & Thorburn, Peter & Archer, Ainsley & Jakku, Emma, 2007. "Opportunities for value chain research in sugar industries," Agricultural Systems, Elsevier, vol. 94(3), pages 611-621, June.
    8. 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.
    9. N. Marshall & I. Gordon & A. Ash, 2011. "The reluctance of resource-users to adopt seasonal climate forecasts to enhance resilience to climate variability on the rangelands," Climatic Change, Springer, vol. 107(3), pages 511-529, August.
    10. Anders Hansson & Mathias Fridahl & Simon Haikola & Pius Yanda & Noah Pauline & Edmund Mabhuye, 2020. "Preconditions for bioenergy with carbon capture and storage (BECCS) in sub-Saharan Africa: the case of Tanzania," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(7), pages 6851-6875, October.
    11. Mark Jury, 2013. "Climate prediction experiences in southern Africa 1990–2005 and key outcomes," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 65(3), pages 1883-1894, February.
    12. World Bank, 2010. "Improving Water Management in Rainfed Agriculture : Issues and Options in Water-Constrained Production Systems," World Bank Publications - Reports 13028, The World Bank Group.
    13. 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.
    14. 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.

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