基于叶片分形维数的植物亏水胁迫萎蔫体态测量方法

    Measurement of plant leaf physical configuration under water deficit stress using fractal dimension

    • 摘要: 该文借助基于激光斜射测距原理的3D扫描装置,快速获取西葫芦叶面形态的原始信息,在此基础上通过叶面形态的变化达到研究植株亏水胁迫的目的。定义了叶面分形维数作为刻画叶片萎蔫形态的量化指数——萎蔫指数。根据不同萎蔫程度(10个萎蔫水平)的叶片形态3D测量数据,对分形维数所定义的叶片萎蔫指数分别结合土壤温度与光照强度分析了统计相关性。试验结果表明:在保持田间持水量不变条件下,叶面分形维数满足萎蔫状态的单调变化趋势;激光扫描是获取叶面形态的有效方法;叶片的分形维数(萎蔫指数)与土壤温度、光照强度都成负相关性,并以分形维数为因变量,土壤温度和光照强度为自变量,得出了三者之间多元回归模型。由此可得:以分形维数定义的叶片萎蔫指数可以作为精准节水灌溉的一个控制指标,有效指导节水灌溉。

       

      Abstract: Three dimensional laser scanning device based on oblique incidence method was used to measure the information of Cucurbita Pepo L. leaf’s original physical configuration. Based on these data, fractal dimension was defined as an indicator of leaf’s wilting degrees. According to measurements of different leaves’ physical configurations (divided into 10 levels), the wilting index defined by fractal dimension and its correlations with soil temperature and illumination intensity were researched. Results showed that under constant field capacity condition, leaf fractal dimension increased monotonously with wilting degrees. Laser scanning was an effective method for obtaining leaf’s physical configuration. Leaf fractal dimension had negative correlation with soil temperature and illumination intensity. A multiple linear regression model of fractal dimension with soil temperature and illumination intensity as two variables was established. Thus leaf’s wilting degrees defined by fractal dimension can be an efficient indicator of plant’s water stress level and can be a valid control variable of water saving system as well.

       

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