Titlebook: Crop Modeling and Decision Support; Weixing Cao,Jeffrey W. White,Enli Wang Conference proceedings 2009 Springer-Verlag Berlin Heidelberg 2

COAX

书目名称Crop Modeling and Decision Support影响因子(影响力)




书目名称Crop Modeling and Decision Support影响因子(影响力)学科排名




书目名称Crop Modeling and Decision Support网络公开度




书目名称Crop Modeling and Decision Support网络公开度学科排名




书目名称Crop Modeling and Decision Support被引频次




书目名称Crop Modeling and Decision Support被引频次学科排名




书目名称Crop Modeling and Decision Support年度引用




书目名称Crop Modeling and Decision Support年度引用学科排名




书目名称Crop Modeling and Decision Support读者反馈




书目名称Crop Modeling and Decision Support读者反馈学科排名

空气

无聊点好

https://doi.org/10.1007/978-3-8274-2784-7p a simple but efficient method for constructing crop structure. An interactive modeler has been developed to help users to model, edit the organs and crop structure quickly. We demonstrate the flexibility of our approach by creating different organs and crops structure.

即席演说

filial

顶点

顶点

papers selected from the International Symposium on Crop Modeling and Decision Support (ISCMDS-2008), held at Nanjing of China from 19.th. to 22.nd. in April, 2008. Many of these papers show the recent advances in modeling crop and soil processes, crop productivity, plant architecture and climate ch

EXPEL

Das Wirbeltiergehirn und seine Herkunft,model validation showed that the mean RMSEs of leaf sheath length, internode length and thickness were 1.34 cm, 1.71 cm and 0.06cm, respectively, which indicated a good performance of the model in prediction of leaf sheath and internode growth dynamics in wheat.

打火石

Gustave-Nicolas Fischer,Virginie Dodelerrevealed the dynamic interactions between sources and sinks. Secondly, the interaction between plant architecture and plant functioning is well established through optimization. Numerical study confirms that the proposed optimization approach could be a useful tool for genetic analysis and management control.

Negotiate

Modeling Leaf Sheath and Internode Growth Dynamics in Wheat,model validation showed that the mean RMSEs of leaf sheath length, internode length and thickness were 1.34 cm, 1.71 cm and 0.06cm, respectively, which indicated a good performance of the model in prediction of leaf sheath and internode growth dynamics in wheat.