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。
Crop yield estimation by remote sensing and crop growth simulation models have highly potential application in crop growth monitoring and yield forecasting.
卫星遥感估产和作物生长模拟两项新技术在作物监测和估产方面有巨大的应用价值。
This paper introduces the major mathematic models of synthetic prediction of crop yield, including separation of trend factor and trend yield, simulation of trend yield;
介绍了农作物产量综合预测的建模思路以及建模各阶段的主要算法。包含农作物产量预测的趋势因子和趋势产量的分离；
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.
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.
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。
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