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.
建立温室园艺作物生长模型，是进行温室环境和作物生长发育精确化控制和定量化管理的核心技术。
It is a core technology of greenhouse environment and crop growth and development precise control and quantitative management.
可视水稻生长模型作为一个实例为作物生长模型软件的设计，提供了一个系统分解和系统组织的框架。
Visual Rice Growth Models (VRGM) system represented an effort to design crop modeling software with object-oriented paradigm and to organize classes in system with model-document-view architecture.
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。
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.
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.
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.
基于生长模型的作物管理决策支持系统是数字化农作技术研究的重要内容。
Growth model-based decision support system is one of the important parts of digital farming techniques.
系统包括农业区的基础地理信息、作物生产知识、作物生长养分需求的数学模型和分析方法。
In this system, there are basic farming land geographic information, agronomic knowledge, crop fertilizer needing mathematics models, and data analysis methods.
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.
利用回归分析、灰色关联度和层次分析方法建立了施肥量对农作物生长的数学模型。
Some mathematical models are given about crop growth and fertilization quantity, by using the methods of regression analysis, grey dependent degree and analytical hierarchy process.
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.
实行温室控制的首要步骤是建立一个合理的数学模型，用该模型来描述温室外部变量和作物生长环境的关系。
For controlling the greenhouse environment the first step is to set up a mathematical model which describes the relationship between the external variables and the plant environment.
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.
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.
忽略作物生长高度，建立了单目视觉条件下，从图像坐标系到作物生长平面坐标系的转换模型。
The translation model between image and crop row coordinate under monocular vision was set up, ignored the height of row crop.
为了完善作物形态结构动态模型建立的方法，在基于生长方程理论建模的基础上，提出了可控式模型的建立方法。
To improve methods on crop structure dynamic model, the paper put towards controllable structure model on the base of growth function.
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.
研究结果为用计算机进行作物生长监测提供了理论基础和实用模型，并为农业科研中作物生长参数的测量提供了快速、便捷的方法。
It is an accurate, convenient, clipping method to measure the feature parameters of growing crop. The model and theory is developed to monitor the growth of crop by using computer vision.
建立了主要作物生育期钟模型模式，反映作物生长发育随气候的动态变化，并将生育期与气候生长季进行对比分析，实现生长季适应性评估；
"clock" models for growing period of crops were established, which reflect dynamic change in growing period of crops with climate, and analyze the crop requirements to climate tondition;
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.
构建良好的作物生长发育模型，不但可以预测作物在不同的环境条件下模型参数大多需要重新估计和优化。
Build a good crop growth and development model, not only can predict the crop in different environmental conditions, most need to re-estimate the model parameters and optimization.
构建良好的作物生长发育模型，不但可以预测作物在不同的环境条件下模型参数大多需要重新估计和优化。
Build a good crop growth and development model, not only can predict the crop in different environmental conditions, most need to re-estimate the model parameters and optimization.
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