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Comparison Of The Glue And Dream Methods For Estimating Variety Parameters For A Maize Crop Modelcomparison Of The Glue And Dream Methods For Estimating Cultivar Parameters For A Maize Crop Model, Meiling Sheng, Junzhi Liu, A-Xing Zhu, Liming Zhu
Comparison Of The Glue And Dream Methods For Estimating Variety Parameters For A Maize Crop Modelcomparison Of The Glue And Dream Methods For Estimating Cultivar Parameters For A Maize Crop Model, Meiling Sheng, Junzhi Liu, A-Xing Zhu, Liming Zhu
International Congress on Environmental Modelling and Software
Process-based crop models are popular scientific tools to study the impacts of environment, variety and management decisions on crop growth. Some cultivar parameters in crop models cannot be measured directly and need to be estimated. In this research, two Bayesian methods, namely the generalized likelihood uncertainty estimation (GLUE) and Differential Evolution Adaptive Metropolis (DREAM) algorithm, were used to estimate the parameters of the maize module of the Agricultural Productions Systems sIMulator (APSIM-Maize) for the first time. Six cultivar parameters of APSIM-Maize were estimated using GLUE and DREAM, respectively. Both the GLUE and DREAM methods were able to give accurate simulations …