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A framework to deal with uncertainty in soil and management parameters in crop yield simulation: A case study for rice

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  • Bouman, B. A. M.

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  • Bouman, B. A. M., 1994. "A framework to deal with uncertainty in soil and management parameters in crop yield simulation: A case study for rice," Agricultural Systems, Elsevier, vol. 46(1), pages 1-17.
    • Handle: RePEc:eee:agisys:v:46:y:1994:i:1:p:1-17
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    Cited by:

    1. Bouman, B. A. M. & van Keulen, H. & van Laar, H. H. & Rabbinge, R., 1996. "The `School of de Wit' crop growth simulation models: A pedigree and historical overview," Agricultural Systems, Elsevier, vol. 52(2-3), pages 171-198.
    2. Wang, Zhiqiang & Ye, Li & Jiang, Jingyi & Fan, Yida & Zhang, Xiaoran, 2022. "Review of application of EPIC crop growth model," Ecological Modelling, Elsevier, vol. 467(C).
    3. Daniel Wallach & Linda O. Mearns & Alex C. Ruane & Reimund P. Rötter & Senthold Asseng, 2016. "Lessons from climate modeling on the design and use of ensembles for crop modeling," Climatic Change, Springer, vol. 139(3), pages 551-564, December.
    4. Aggarwal, P. K., 1995. "Uncertainties in crop, soil and weather inputs used in growth models: Implications for simulated outputs and their applications," Agricultural Systems, Elsevier, vol. 48(3), pages 361-384.
    5. Rotter, R. & van Keulen, H., 1997. "Variations in yield response to fertilizer application in the tropics: II. Risks and opportunities for smallholders cultivating maize on Kenya's arable land," Agricultural Systems, Elsevier, vol. 53(1), pages 69-95, January.
    6. Gaunt, J. L. & Riley, Janet & Stein, A. & Penning de Vries, F. W. T., 1997. "Requirements for effective modelling strategies," Agricultural Systems, Elsevier, vol. 54(2), pages 153-168, June.

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