农作物的生长过程中,受到很多因子的影响。通常,我们在研究作物生长与其影响因子之间的相互关系时采用统计学中的相关、回归、通径分析的方法。但是,使用这些方法分析问题有一定的限制和要求,例如:需要有足够多的数据量;要求使用的数据服从于一定的理论分布。在很多场合下难以有效地应用上述的统计方法。灰色系统理论提供的灰色关联分析方法能够克服这种局限性。 The growth of crops is affected by many factors. In general, we used statistical correlation, regression, and path analysis in studying the relationship between crop growth and its impact factors. However, there are some limitations and requirements for analyzing the problem using these methods. For example, a sufficient amount of data is required; the data required to be used is subject to a certain theoretical distribution. In many cases it is difficult to apply the above statistical methods effectively. Gray system theory to provide gray correlation analysis method can overcome this limitation.