A Method for measuring relative lesion area on leaves using a rice chalkiness ratio analysis software
2008
Zheng Yan | Wu Weiren
Chino. 【目的】提出一种利用稻米垩白度分析软件Chalkiness 1.0测量衡量植物叶片病害综合指标之一叶片相对病斑面积（RLA）的方法。【方法】通过扫描或拍照获得病害叶片的数字图像；然后利用图像处理软件（如Photoshop）对图像进行处理，最重要的是用肉眼识别病斑并用“画笔工具”涂黑，使叶片中的病斑明晰化；最后利用Chalkiness 1.0计算出图像中的RLA。【结果】用本方法对稻瘟病叶上病斑的相对面积进行测量。比较5次重复测量的结果，发现该方法重复性好，误差小。【结论】该方法简单、快速、准确，具有广阔的应用前景。
Mostrar más [+] Menos [-]Inglés. [Objective]Relative lesion area （RLA） is a comprehensive index for leaf diseases, but is difficult to be measured. In this paper, a method for measuring RLA using a rice chalkiness ratio analysis software Chalkiness 1.0 was proposed. [Method] First, a digital image of diseased leaves is obtained with scanner or digital camera. Then, the image is treated with a professional image treatment software （e.g. Photoshop）. The most important operation in this step is to identify lesions by human eyes and black the lesions with the paintbrush tool, making them look plain. Lastly, the RLA in the image is calculated with Chalkiness 1.0. [Result] This method was adopted to measure the RLA of rice blast. By comparing the results of five replicated measurements, it was found that the measurement was highly repeatable with small errors. [Conclusion] This method is simple, quick and precise and would be widely applicable.
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Este registro bibliográfico ha sido proporcionado por Institute of Agricultural Information, Chinese Academy of Agricultural Sciences