Crop growth simulation model is one of the most active domains in agricultural science.
作物生长模拟模型是目前农业科学中最为活跃的一个领域。
In order to optimize the parameters in a crop growth simulation model, a new method based on nonlinear least squares method was developed for estimation of hidden parameters of crop growth.
为了使作物生长模型中的参数最优化，提出了一种改进型非线性最小二乘法在作物生长模型中隐含参数估计的应用技术，针对多目标项的情况提出了权矩阵的自动计算方法。
Aims Accurate simulation of green area index is critical for reliable prediction of crop growth and yield using a crop growth model.
准确模拟绿色面积指数是作物生长模拟模型可靠预测作物生长和产量的关键。
Aims Accurate simulation of green area index is critical for reliable prediction of crop growth and yield using a crop growth model.
准确模拟绿色面积指数是作物生长模拟模型可靠预测作物生长和产量的关键。
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