Crop identification is the basic work in crop yield estimation.
作物识别是遥感作物估产的基础。
Firstly, the author extensively reviewed different crop yield estimation methods in this paper.
本文首先综述分析各类作物估产办法。
The paper inquired into the characteristic, system architecture of spatial data warehouse and valued crop yield estimation methods we have now.
为此，探讨了空间数据仓库的特征、体系结构，对现有农作物估产方法进行了评价。
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。
Assimilating external data into crop growth model to improve accuracy of crop growth monitoring and yield estimation is a research hotspot in recent years.
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.
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。
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