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为了探讨图像处理技术测定水稻叶面积指数(LAI)的可行性,利用数码相机获取水稻冠层影像,通过图像处理获取冠层图像的覆盖度,并建立模型从而估测出水稻LAI。试验结果表明,利用覆盖度与实测叶面积指数之间建立的关系模型可以估测水稻LAI,并对利用该模型测出的叶面积指数与实测叶面积指数进行统计检验,它们之间的相关系数在0.77～0.93*之间,达到显著或极显著水平。说明通过覆盖度估测水稻叶面积指数是可行的,该研究结果为获取水稻LAI提供了有效途径。
In order to investigate the feasibility of image processing technique for measuring leaf area index (LAI), a digital camera was used to obtain rice canopy images. The coverage of canopy images was obtained by image processing and the LAI of rice was estimated. The experimental results show that LAI can be estimated by using the relationship model between coverage and measured LAI, and the LAI measured by this model can be statistically tested with the measured leaf area index, and the correlation coefficient between them Between 0.77 ~ 0.93 *, reaching significant or extremely significant level. It is feasible to estimate rice leaf area index through the coverage. The results provide an effective way to obtain rice LAI.