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。
Crop growth simulation model is one of the most active domains in agricultural science.
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.
由于作物生长模拟模型是动态的机理性模型，正好弥补了以往生产潜力研究的不足。
The crop grow simulation model excels the other models in the properties of dynamic and mechanism.
本文综述了作物生长模拟模型建立的过程，及目前国内外在精准农业和智能温室中的运用现状。
This paper summarizes the process of construction of growth simulation models and their current applications in precision agriculture and intellectualized greenhouse at home and abroad.
作物生长模拟模型是精准农业支持技术的核心部分之一，也是温室生产智能化操作与管理软件的核心部分。
Crop growth simulation models belongs to the core parts of supporting techniques in precision agriculture and intellectualized operations and management softwares in greenhouse production.
光合作用和于物质的生产与分配模型是作物生长模拟模型中最基础的部分，在试验的基础上以徐薯18为例建立模型。
Photosynthesis and dry-matter partioning are main procedures in crop growth and development models. In this paper, a model is presented based on experiment of sweet potato variety Xushu 18.
对于作物生长的模拟，选用了ORYZA水稻生长模型，并结合田间实验修改了其中一些参数。
In simulating crop growth, ORYZA rice-growth model was selected and some parameters were modified by field experiment.
模型对冬小麦—夏玉米轮作体系作物叶面积指数、作物系数、根系生长与分布进行了模拟。
In the model, the leaf area index (LAI), crop coefficients, and root penetration and distribution were simulated for the winter wheat and summer corn double cropping system.
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。
Assimilating external data into crop growth model to improve accuracy of crop growth monitoring and yield estimation is a research hotspot in recent years.
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