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   leaf color 在 计算机软件及计算机应用 分类中 的翻译结果: 查询用时:0.076秒
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leaf color    
相关语句
  叶色
    Results indicated that the available-N from resin sack correlated with that from soil and crops growth information collected from digital camera(indices of leaf color) correlated with the content of available-N in soil.
    结果表明,树脂袋解吸出的速效N与土壤中的速效N间有较好的相关性; 数码技术采集的作物生长发育信息(叶色指数)与土壤速效氮含量之间也有良好的相关性;
短句来源
  叶色
    Results indicated that the available-N from resin sack correlated with that from soil and crops growth information collected from digital camera(indices of leaf color) correlated with the content of available-N in soil.
    结果表明,树脂袋解吸出的速效N与土壤中的速效N间有较好的相关性; 数码技术采集的作物生长发育信息(叶色指数)与土壤速效氮含量之间也有良好的相关性;
短句来源
  叶色
    Results indicated that the available-N from resin sack correlated with that from soil and crops growth information collected from digital camera(indices of leaf color) correlated with the content of available-N in soil.
    结果表明,树脂袋解吸出的速效N与土壤中的速效N间有较好的相关性; 数码技术采集的作物生长发育信息(叶色指数)与土壤速效氮含量之间也有良好的相关性;
短句来源
  叶片颜色
    The correlations between the leaf color parameters,leaf elevation and water content of soil are anal- yzed under the RGB and HIS model.
    提取作物的外部形态特征:叶片颜色和仰角,在RGB和HIS颜色模型下,分析了土壤水分含量与各颜色分量、叶片仰角之间的相关性。
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  leaf color
Leaf color, leaf N, and N concentration of one-year-old wood and roots were similarly increased relative to control by both soil and foliar N application.
      
Leaf color (as SPAD readings) and N concentrations (mg/g), and soil NH4+-N and NO3--N were measured periodically throughout the two seasons.
      
Leaf color was scored on a scale of 1 to 5, in which 1 was dark green and 5 was bright yellow.
      
The group is defined by fruit flavor, mature leaf color, number of tertiary divergent veins, and pubescent bracts in the inflorescence.
      
Only the diversity indices for leaf color of seedlings, starch composition and 1000-grain weight showed significant differences among regions.
      
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This paper focused on the technique of wheat growing information measurement by computer vision. Based on wheat leaf growing peculiarities, using the number of forks between leaves and stems after thinning, the number of leaves can be obtained. The research defined the wheat leaf color with hue and measured the color of leaf by hue. As a result, the software was developed with Visual C++ on Window system.

以计算机视觉检测小麦生长信息为目的 ,建立了计算机视觉系统以获取小麦图像。在分析小麦生长特性的基础上 ,提出了用小麦叶片和茎秆之间的叉点数来检测叶数 ;用色相表示小麦叶片的颜色 ,对小麦叶片的色相值进行了检测。并在中文 Windows98平台上用 Visual C+ + 6 .0开发研制了检测软件。

Parameters of rice N-nutrition and ricegrowing status were obtained with exchangeable resin and digital camera.Results indicated that the available-N from resin sack correlated with that from soil and crops growth information collected from digital camera(indices of leaf color) correlated with the content of available-N in soil.Rice yield correlated with its growth information positively in certain range.

提出了通过交换树脂和数码相机来获取土壤肥力及作物长势、长相参数的方法。结果表明,树脂袋解吸出的速效N与土壤中的速效N间有较好的相关性;数码技术采集的作物生长发育信息(叶色指数)与土壤速效氮含量之间也有良好的相关性;结果还表明,水稻产量在一定范围内和生长发育信息成正相关。

Measurement for cucumber seeding growth information was studied using computer image processing techniques under the sunlight condition.The correlations between the leaf color parameters,leaf elevation and water content of soil are anal- yzed under the RGB and HIS model.The result shows that there are high linear correlations between the leaf color parameters,leaf elevation and water content of soil,the correlation of R are 0.9585、-0.9167 and 0.9392,which could be used as the indices...

Measurement for cucumber seeding growth information was studied using computer image processing techniques under the sunlight condition.The correlations between the leaf color parameters,leaf elevation and water content of soil are anal- yzed under the RGB and HIS model.The result shows that there are high linear correlations between the leaf color parameters,leaf elevation and water content of soil,the correlation of R are 0.9585、-0.9167 and 0.9392,which could be used as the indices of me- asurement for cucumber growth information using machine vision.It has great significance in improving the level of intelligent control in greenhouse.

在自然光条件下,利用计算机图像处理技术对温室黄瓜幼苗的生长信息进行了检测研究。提取作物的外部形态特征:叶片颜色和仰角,在RGB和HIS颜色模型下,分析了土壤水分含量与各颜色分量、叶片仰角之间的相关性。结果表明:土壤的水分含量与叶片的仰角、G分量和H分量有很好的相关性,决定系数分别达到0.9187、0.8404和0.8822,可作为利用机器视觉检测黄瓜植株生长信息的指标。该研究对于提高温室的智能化控制水平具有重要的意义。

 
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