作物生长模型的优化是高维、非线性的复杂优化问题。
The parameter optimization of crop growth models is a multi-dimension, nonlinear and complicated optimization problem.
利用外部数据同化作物生长模型提高区域作物单产模拟精度是近年来的研究热点。
Assimilating external data into crop growth model to improve accuracy of crop growth monitoring and yield estimation is a research hotspot in recent years.
作物生长模型是在田间尺度上开发的，而区域尺度上的作物生长信息更受决策部门的关注。
Dynamic crop growth simulation models have been developed at a plot or a field scale. However, crop growth monitoring and yield predication at regional scale are concerned by decision makers.
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