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

Jinhui Zheng and Shuai Zhang

Agricultural Systems, 2025, vol. 224, issue C

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.

Keywords: Model uncertainty; Wheat phenology model; Climate change; Model structure (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:agisys:v:224:y:2025:i:c:s0308521x24003652

DOI: 10.1016/j.agsy.2024.104215

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