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Decomposing the total uncertainty in wheat modeling: an analysis of model structure, parameters, weather data inputs, and squared bias contributions

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  • Zheng, Jinhui
  • Zhang, Shuai

Abstract

The comparison of agricultural models and the conduct of crop improvement research have garnered significant attention in recent times. One of the primary objectives in this field is to pinpoint and mitigate the uncertainties inherent in modeling the effects of climate on crop growth and productivity. Enhancing the precision and reliability of crop models has emerged as a critical concern.

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  • Zheng, Jinhui & Zhang, Shuai, 2025. "Decomposing the total uncertainty in wheat modeling: an analysis of model structure, parameters, weather data inputs, and squared bias contributions," Agricultural Systems, Elsevier, vol. 224(C).
    • Handle: RePEc:eee:agisys:v:224:y:2025:i:c:s0308521x24003652
    DOI: 10.1016/j.agsy.2024.104215
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    1. Jinhui Zheng & Shuai Zhang, 2025. "Assessing the Impact of Climate Change on Winter Wheat Production in the North China Plain from 1980 to 2020," Agriculture, MDPI, vol. 15(5), pages 1-17, February.

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